Simulation and optimization of HEMTs

Size: px
Start display at page:

Download "Simulation and optimization of HEMTs"

Transcription

1 1 Smulaon and opmzaon o HEMTs Hesameddn Ilakhameneh Reza Ashra Sna Khorasan * School o Elecrcal Engneerng, Shar Unversy o Technology, Tehran, Iran Emal: khorasan@sna.shar.edu Absrac We have developed a smulaon sysem or nanoscale hghelecron mobly ranssors, n whch he sel-conssen soluon o Posson and Schrödnger equaons s obaned wh he ne elemen mehod. We solve he exac se o nonlnear derenal equaons o oban elecron wave uncon, elecrc poenal dsrbuon, elecron densy, Ferm surace energy and curren densy dsrbuon n he whole body o he devce. For more precson, local dependence o carrer mobly on he elecrc eld dsrbuon s consdered. We urhermore compare he smulaon o a recen expermenal measuremen and observe perec agreemen. We also propose a graded channel desgn o mprove he ransconducance and hereby he hreshold requency o he devce. Keywords: Hgh Elecron Mobly Transsor, Smulaon, Opmzaon, Fne Elemen Mehod 1 Inrodcuon Nowadays, ulra-hgh speed crcus are mosly based on heerojuncon devces ncludng Heerojuncon Bpolar Transsors (HBTs) and Hgh Elecron Mobly Transsors (HEMTs). HEMT-based hgh speed Inegraed Crcus (ICs) and mllmeer-wave mcrowave ICs [1] need o be scaled down o small dmensons or hgher perormance. In 1994 or he rs me [] a monolhc HEMT IC desgn was presened, whch ncorporaed acve regulaed sel-bas. The operaon requency o monolhc ICs has recenly been exended well no he mllmeer-wave range [3,4]. An advanced desgn o a hghly negraed ransmer and recever Monolhc Mllmeer-wave ICs (MMICs) was repored n 005 [5], based on a commercal 0.15m, 88GHz (183 GHz MAX) GaAs phemt MMIC process and characerzed on boh chp and sysem levels. Whle mllmeer-wave applcaons call or acve devces wh hgher cu-o requences, HEMTs oer he hgh requency soluon due o her hgh requency operaon and large curren drvng capables. In hs regard, AlGaN GaN HEMTs are emergng as he promsng canddaes or he rado requency and mcrowave requency power amplers used n advanced wreless communcaon sysems [6]. Sngleheerojuncon (SH) HEMTs employng one dopng layer have shown excellen curren gan cu-o requences and exremely low nose gurers [7]. However, hey oen suer rom low curren denses due o he relavely small number o carrers n he channel. The shee carrer densy can be mproved o some exen by ncreasng he dopng n he donor layer a he expense o lower breakdown volages. A beer approach o acheve hgh curren drvng capably s by dsrbung he dopng no mulple donor regons and employng mulple heerojuncons. In hs way, mulple Two- Dmensonal Elecron Gases (DEGs) are ormed and a hgh curren densy can be expeced [8]. Hgh power compose channel GaInAs/InP HEMT [9] and dual-dela-doped power HEMTs [10] are ypcal nsances o mulple heerojuncon devces. For many deren crcus, desgn and applcaons o HEMTs, accurae models or varous characerscs o he devce are needed. In [11] he auhors repored a new emprcal and smple model ha can represen he curren volage (I V) characerscs o HEMT devces wh hgh accuracy. An nverse modelng echnque was nroduced n [1] o deermne he srucural and physcal parameers o HEMT rom he desred daa or maxmum ransconducance. Presened analycal model by [13] or I-V characerscs o sraned and lace mached HEMTs on InP subsrae usng a varaonal charge conrol model has resuled n an accurae descrpon o he devce. Ths also ncludes correc modelng o he subhreshold and sauraon regons, whch have a parcular mporance or dgal applcaons as well as he mcrowave power operaon o HEMTs. In hs approach, nsead o lnear capacance approxmaon [14,15] a polynomal channel charge densy versus gae-o-channel volage relaon has been adoped. Fg. 1. Typcal HEMT srucure. In general, or more relable modelng and smulaon o hgh speed and hgh perormance nanoscale heerojuncon devces, a sel-conssen and accurae couplng o quanum mechancal and elecrosac analyses should be addressed. Addonally, varous opmzaon approaches or mprovng he perormance o HEMTs have been repored up o now. In hs

2 regard, a novel and accurae mehod or smulang nonequlbrum gae curren and shee carrer concenraon n AlGaAs/GaAs HEMT srucures has been repored n [16]. A rs-prncples heorecal comparson o he perormance o dencal Al 0.3 Ga 0.68 As/GaAs and Al 0.15 Ga 0.85 As/GaAs pseudomorphc HEMTs based on an ensemble Mone Carlo smulaon coupled wh a D Posson solver has been publshed n [17]. A paper publshed n 1999 [18] presened a new and hgh-perormance InGaP/In x Ga 1-x As HEMT wh an nvered dela-doped V-shaped channel. Due o he presence o V-shaped nvered dela-doped InGaP/In x Ga 1-x As srucure, good carrer connemen and a la and wde ransconducance operaon regme could be expeced. Among noable works n he ranspor smulaon o semconducor devces [19], here has been a wde range o recen leraure dscussng quanum correced Mone Carlo [0] and quanum correced dr-duson models [1-4]. These days, advanced and expensve commercal sowares such as Slvaco [5] are able o ully ncorporae quanum eecs no he operaon o semconducor devces. In hs work, we solve he exac nonlnear coupled Schrödnger and elecrosac equaons (Posson and charge conservaon), n D geomery, usng he Fne Elemen Mehod (FEM). These equaons are solved sel-conssenly n an erave manner unl he soluon converges. As an example, we consder a GaN-based HEMT or deermne a ypcal cu-o requency o devce. As a new approach or mprovemen o HEMT characerscs, we also have consdered and smulaed he devce wh varous band edge energy proles n channel layer, resulng rom graded conrol over he Alumnum racon. We show ha s possble o acheve a 53% mprovemen n he ransconducance usng an opmzed prole o mpury n he channel layer. Ths sudy s based on he combnaon o Fne-Elemen solver FlexPDE 5 [6], whch s desgned or soluon o paral derenal equaons, and MATLAB codes. Theory A. Basc Equaons The quanum mechancal Schrödnger equaon governng he dsrbuon o elecrc charges s nonlnearly coupled wh he Posson and charge conservaon equaons, whch are n urn dependen on he probablsc wave uncons. Hence, hs sysem o equaons mus be solved sel-conssenly or a correc smulaon o HEMT devces. Soluon o he Schrödnger equaon resuls n energy egenvalues and elecron wave uncons, and hereby he elecron densy. Elecrc eld and poenal dsrbuon are hen exraced rom he soluon Posson equaon. Ferm surace dsrbuon and curren densy o devce are hen obaned when charge conservaon law s appled. Here, we smulae he HEMT wh wo deren approaches. In he rs approach, he rue dsrbuon o elecron curren s negleced and Ferm energy surace s supposed o be consan, whle n he second approach, he curren connuy equaon s appled along wh he selconssen sysem o Posson-Schrödnger equaons. Hence, he ormer s applcable o unbased srucures a equlbrum, he laer mehod may be used or analyss o ully based conguraons a unequlbrum. Alhough boh mehods are equally applcable o all ypcal HEMT srucures based on III- V compounds, we choose he (AlGa)N amly, whch has drawn parcular aracon n he recen years. The ypcal HEMT srucure under consderaon s shown n Fg. 1. B. Zero Bas The rs approach can be used or calculaon o elecron densy dsrbuon n he channel, and also dervaon o he relaed parameers such as gae-bulk capacance, when no dran-source volage s appled. A he begnnng o analyss we assume ha all he carrers are aached o her assocaed, 0 everywhere n he devce. Hence, he nal elecrc poenal can be esmaed rom he Laplace s equaon dopan aoms, whch mples zero charge densy x y 1 V, (1) where V s he D elecrc poenal. Ths poenal dsrbuon s obaned regardless o he derence beween he band-gap energes o semconducors. Thereore, usng he superposon law, he oal poenal energy U can be obaned n he orm o U qv Ec, () n whch q s he elecronc charge and E c s he conducon band energy. The nal uncon prole o E c could be approxmaed wh combnaon o smooh sep uncons ormed wh angen hyperbolc uncons as s shown n Fg.. Now, he Schrödnger equaon can be wren as ( x, y ) U ( x, y ) ( x, y ) E ( x, y ) m, (3) where ( x, y) s he elecron wave uncon, s he reduced Planck s consan, m s he elecron eecve mass, and E s he elecron energy. Here, he oal elecrosac poenal energy U ( x, y ) s smply subsued by qv. By solvng (3), he egenvalues E and egen-uncons o he -h sae could be obaned. Now consderng he ac ha he energy saes are dscree and do no orm a connuum [7], he oal elecron densy should calculaed by applyng he Ferm sascs o nd he summaon o elecron denses n he energy sub-bands [8]. Ths resuls n n x, y x, y n. (5) 0 Here ( x, y) s he correspondng wave uncon o he h energy sae, and n s he elecron densy a hs specc energy sae. In he case o D analyss, he elecron densy or he h energy sae s obaned rom he equaon [9,30] (Appendx) E E mkt n ln 1 exp kt. (6)

3 Fg.. Conducon band as a uncon o devce deph. where k s he Bolzmann s consan, T s he absolue emperaure, and E s he Ferm energy. The Ferm Energy E s here obaned rom he bulk dopng densy. Also, he conducon band o he channel layer E can be consdered as c he reerence energy or he whole o he sysem, and he derences beween he energy levels o E and E o he c channel layer semconducor s aaned usng E E n Nd NC exp kt. (7) The ypcal resulng energy band dagram s llusraed n Fg. 3. Now, he D elecron densy n x, y obaned rom (5) can be eravely plugged n he Posson equaon (1), resulng n q N d n x, y V. (8) Aer solvng (8), he oal poenal dsrbuon s obaned usng he new poenal, and qv replaces U x, y n he Schrödnger equaon (3). Thereore, he energy saes and egen-uncons are approxmaed usng he new poenal energy dsrbuon. In hs way, he eraon loop s closed and repeaed unl he elecron densy n x, y converges o a seady dsrbuon. A lowchar oulnng he menoned procedure s shown Fg. 4. I should be noed ha he Schrodnger equaon s solved n D subjec o he boundary condons gven n Table 1. Ths wll ypcally resul n a dscree specrum, wh each sae beng hghly occuped due o n-plane momenum o carrers. Ths s because he connemen occurs manly n y-drecon, and hese are reaed by negraon o energy saes over normal drecons by approxmang he dense specrum as a parabolc subband, whch auomacally resul n (6). Ths has been elaboraed n Appendx. Furhermore, oher nondeal phenomena such as polarzaon and sran-nduced eecs, whch are que ypcal n III-V heerosrucures are here gnored. Such eecs only nd mporance n opoelecronc devces where accurae ranson energes mus be known and lgh absorpon or emsson specrum s sough. For nsance, n he opmal desgn o GaN Lgh-Emng Dodes [31] and sronglycoupled AlGaAs quanum dos [3], boh polarzaon and sran eecs mus be calculaed usng 4 4 marx echnques, perurbaon mehod and envelope approxmaon. Ths wll enable one o nd accurae soluons or elecrons, heavy- and lgh-holes as well as holes n he spl-o band. For oher applcaons where ransons do no sgncanly ake place and only one ype o carrer s nvolved, such as he conducng nerace modulaor [33] and hs work, hese may be hereore saely gnored. The reason s ha, here, we look or charge densy o he D elecron gas (DEG), whch s by (6) only logarhmcally dependen on he values o egen energes. Ths wll also help us o jusy he accuracy o numercal smulaons, whch s here observed and descrbed n he nex secon. C. Based Conguraon The second approach or dervaon o he basc parameers n HEMTs akes care o he poenal derence beween he dran and source elecrodes o he devce, and hence can be used or analyss o based conguraons. As a resul, he curren densy dsrbuon n he bulk o he ranssor s aaned. The only derence beween he new suaon a unequlbrum (n he presence o V ) and he prevous orm DS a equlbrum (n absence o V ) s ha he Ferm energy DS level s no longer la and consan hroughou. Indeed, he Ferm energy needs o be replaced by he quas-ferm level. The quas-ferm energy level a he source and dran conacs are equal o her respecve appled volages, whle n oher regons wll be derved rom where 3 J 0, (9) J ne, (10) Fg. 3. Energy saes n quanum well o channel layer. Fg. 4. Flowchar o rs smulaon approach algorhm.

4 D. Boundary Condons The appled boundary condons or he Schrödnger, Posson and curren connuy equaons are shown n Fg. 7 and also reeraed n Table 1 or more clary. The reader may noce ha here he Schrödnger equaon s solved n D a once, nsead o only solvng or he waveuncons a he band edges n 1D across he quanum well. 4 Fg. 5. Elecrc eld dependency o GaN elecron mobly, based on daa aken rom [3]. One can also consder he elecrc eld dependence o elecron mobly E e n GaN, where E s he eecve e elecrc eld, hrough curve ng o he avalable expermenal daa [34]. Ths s done accordng o he polynomal as shown n Fg. 5. Thereore, he mobly becomes a local uncon o coordnaes, and he dvergence condon (9) changes no ( x, y) n( x, y) E ( x, y) 0, (11) In he above equaon, n x, y s replaced rom (5), whch s dependen on he Ferm energy. Fnally, (11) recass no he non-lnear derenal equaon readng, E E x y ln 1 E 0 0 kt. (1) By solvng he above derenal equaon, he Ferm level energy dsrbuon n he whole body o he ranssor s deermned. Thereore, n x, y and he resulng curren densy are aaned a each node separaely. The lowchar used by he program s shown n Fg. 6. Snce he second approach s more comprehensve and gves he complee I-V characerscs o he devce, needs sgncanly more compuaon. Fg. 6. Flowchar o second smulaon approach algorhm. Number Table 1. Boundary condons n he smulaon. Deals 1 (Dran) V V, 0, E qv d d ms d (Gae) V V, 0, E qv, E 0 g g ms dn 3 (Source) V V, 0, E qv s s ms d d 4 V 0, 0, E 0 dn dn Table. Dmensons o he smulaed HEMT. W W W W l l l l D G SU SD 0nm 8nm 15nm 10nm 30nm 0nm 5nm 5nm Fg. 7. Boundary condons deermnaon. 3 Resuls A. Elecron Densy The dmensons o he double heerojuncon devce shown n Fg. 1 are enlsed n Table. All equaons are solved usng he sandard FEM, and he soluon converges quckly only aer our cycles o repeang he ouer loop n he lowchar, as shown n Fg. 6. Only he rs our elecron wave uncons as ploed n Fg. 8 are aken no accoun. Ths s because o he ac ha he rs ew egen-uncons are domnan n deermnaon o overall elecron densy dsrbuon, and he res have neglgble occupaon and hereore are only o mnor mporance. Aer evaluang he elecron wave uncon, we can calculae he elecron densy va (5) whch s shown n Fg. 9. In addon, he elecron densy o a sngle heerojuncon smulaed HEMT wh same dmenson s ploed n he Fg. 10 or comparson purposes. The elecron densy n he sngle heerojuncon srucure s more ouspread n comparson wh he double heerojuncon srucure. Obvously he correspondng peak elecron densy s lower, oo. As can be seen rom Fgs. 9 and 10, n he double heerojuncon srucure he maxmum carrer densy s approxmaely one order o magnude larger han ha o he sngle heerojuncon srucure; addonally, n he double heerojuncon HEMT, elecrons are more conned. Ths arses rom he ac ha elecrons spread more unormly over he channel layer.

5 5 Fg. 9. Toal elecron densy dsrbuon n he double heerojuncon devce. Fg. 10. Toal elecron densy dsrbuon n he sngle heerojuncon devce. In conras o Fg. 9 or he double heerojuncon srucure, he densy s much more unorm. Fg. 8. The rs our normalzed elecron wave uncons o he double heerojuncon devce. The ground sae s calculaed or every bas pon n D, whch s naurally subjec o asymmerc boundary condons across he channel. Furhermore, he curren does no low compleely horzonal as Fg. 11 clearly shows. Whle smple non-degenerae 1D quanum sysems are known o have no nodes n her ground saes (and he order o saes s characerzed by he number o zeros o waveuncons), here s no reason ha he same concep sll could be expeced under D and srongly asymmerc condons. As s normally expeced, he elecron curren pah s observed o be hrough he channel layer. Ths eec s seen clearly n Fg. 11. Here, neglecon o hgher-order egenuncons resuls n a prole wh locally rapd varaons. B. I-V Characerscs The smulaed DC I-V characerscs s shown n Fg. 1 and compared wh he expermenal resul by Kwon e al [8]. A remarkable agreemen beween he numercal smulaon and expermenal resuls s observed. We can also esmae he cuo requency usng he expresson [35] Fg. 11. Absolue value o curren densy n devce. g m c, (13) C gs where g m s he ransconducance o he devce. Also, he Gae-Source capacance C gs can be obaned rom Taylor seres expanson [36] as gs gs1 gs gs gs3 gs. (14) C C C V C V For a barrer hckness o 30nm, he coecens o he above seres or GaN HEMTs are [36] known o be Cgs pf mm, Cgs pf mmv, and Cgs pf mmv. The ransconducance s hen calculaed a Vgs 0.5V and Vds 1V usng he obaned Id Vds characerscs (Fg. 13). Calculaed cu-o requences or double and sngle heerosrucure are 189.5GHz and 171.1GHz, respecvely.

6 Fg. 1. I-V characersc o he double heerosrucure GaN HEMT: numercal smulaons (blue lnes) versus expermenal daa (black sold lnes) rom [8]. The agreemen s very remarkable beween he numercal smulaon and expermenal daa and he s perec. n Fg. 1. Conducon band edge energy proles o hs sandard srucure due o a conrolled Alumnum racon and our proposed srucure, along y-drecon are respecvely shown n Fgs. 14 and 15. We employ a smple lnear nerpolaon or he bandgap dependency o he ernary compound Al x Ga 1-x As [37], and esmae he Al racon needed a each deph or consrucng hs srucure has also been calculaed and shown n Fgs. 14, 15. I should be possble o realze such a graded prole o dopng usng layer-by-layer growh echnques, such as Molecular Beam Epaxy (MBE) or Meal-Organc Chemcal Vapor Deposon (MOCVD). Reerrng o Fg. 1, he dmensons o hese wo smulaed srucures are gven n Table 3. Through numercal smulaon we nd ha he carrer connemen n he proposed srucure s sgncanly hgher han he convenonal double heerojuncon HEMT (see Fg. 16 and Fg. 17). Hence, he eecve channel hckness s reduced roughly by a acor o.1; he eecve hckness o channel s here dened as he lengh scale o decay o carrer densy across he y-drecon (see Fg. 18). Thereore, a channel wh unorm carrer densy and hckness L e would suppor he same oal number o carrers. 6 Fg. 13. Smulaed he ransconducance o HEMT a bas volages Vgs 0.5V and V ds 1V : (a) Double Heerosrucure; (b) Sngle Heerosrucure. 4 A Novel Srucure In hs secon, we show ha would be possble o ncrease he ransconducance o he HEMT ranssor by more han 53%, hrough engneerng he prole o Alumnum n he channel layer. We rs noce ha based on he resuls or sngle and double heero juncon HEMTs wh he same dmensons, was observed ha double heerojuncon HEMT has a larger ransconducance. As a resul, enjoyed hgher cu-o requency, oo. One o he causes or such an mprovemen s beer carrer connemen n he channel, whch s ypcal or double heerojuncon devces. Ths eaure s clearly demonsraed n Fgs. 9 and 10, n whch carrers have gher connemen and hgher concenraon n channel layer or he double heerojuncon srucure. Hence, we can conclude ha a proper desgn o poenal well, and speccally, he prole o band edge energy, would conrbue o a superor carrer densy dsrbuon and connemen. Here, we have smulaed and compared wo srucures wh he same dmensons, bu deren conducon band edge energy proles across he channel layer. The rs smulaed srucure s he same double heerojuncon HEMT llusraed Fg. 14. Prole o conducon band energy and Al racon o he smulaed srucure (he same double heerojuncon HEMT ha was nvesgaed above jus wh smaller dmensons). Fg. 15. Prole o conducon band energy and Al racon o our suggesed novel srucure. Table 3. Dmensons o he smulaed and compared wo HEMTs. W W W W l l l l D G SU SD 3nm nm 3nm 4nm nm nm 0.5nm 0.5nm

7 The eecve channel hcknesses or he wo compared srucures are shown n Fgs. 16 and 17, or bas volages o Vgs 0V and Vds 0.5V. Calculaed I ds -V gs curve or 0 Vgs 0.35V and Vds 0.5V are also calculaed and ploed n Fg. 19. As can be clearly seen here, our suggesed srucure has a hgher ransconducance due o he much beer carrer connemen. Based on Fg. 19, he maxmum enhancemen n ransconducance can be easly esmaed o be abou 53%. (b) (a) 7 Fg. 19. Calculaed ransconducance o wo compared HEMTs a bas volages V ds 0.5V and 0 Vgs 0.35V : (a) Double Heerosrucure; (b) Our novel Heerosrucure. 5 Concluson Fg. 16. Toal elecron densy dsrbuon n he double heerojuncon wh conducon band edge energy prole shown n Fg. 14. The eecve channel hckness s calculaed o be around 1.875nm. Fg. 17. Toal elecron densy dsrbuon n our suggesed novel srucure wh conducon band edge energy prole shown n Fg.15. The eecve channel hckness n hs case s only 0.88nm. Fg. 18. Denon o creron or calculaon o eecve channel lengh. The FEM has been appled o smulaon o GaN HEMTs. Two deren approaches or smulaon o HEMT devces, under equlbrum wh zero bas, and a unequlbrum when based, were repored. Posson-Schrödnger equaons were solved sel-conssenly unl he soluon converged. Through addon o he sem-classcal curren connuy equaon, he eec o dran-source volage could be consdered. Obaned I ds -V ds characerscs o HEMT devces rom hs smulaon, was shown o be n complee agreemen wh he repored expermenal resuls. Sngle and double heerojuncon HEMT srucures were compared and superor perormance o double heerojuncons was conrmed by numercal smulaons. Based on he smulaon resuls, double heerojuncon HEMTs had hgher ransconducance and hereore hgher cu-o requences, whch was a resul o beer connemen o elecrons n he channel layer. Through engneered desgn o dopng prole n he channel layer, he possbly o a sgncan enhancemen n ransconducance has been esablshed. Appendx The densy o -h energy sae as gven n (6) can be obaned by rs nong ha he D densy o saes o conned elecrons s ndependen o her energy, gven n energy or momenum spaces as m g D E de de, (A.1) g D k d k de, (A.) where he acor s nsered o ake accoun or he spndegeneracry. Ths corresponds o assumng an soropc connemen normal o he y-drecon n xz-plane, wh an elecron energy or a parabolc band as E 1 k E. m k (A.3) Now, he elecron densy n he -h subband can be ound va negraon as

8 8 n E k ; E d k de g E D E E E 1 exp kt m E E ln 1 exp, kt kt n whch E; E s he Ferm-Drac dsrbuon. Reerences (A4) 1. Suemsu, T., Yokoyama, H., Umeda, Y., Enok, T., Ish, Y.: IEEE Trans. Elecron Dev. 46, 1074 (1999).. Kobayash, K. W., Esandar, R., Nelson, B. L., Mno, K., Jones, W. L., Bendenbender, M., La, R., Tan, K. L., Berenz, J.: IEEE Trans. Mcrowave Th. Tech. 4, 610 (1994). 3. Wang, H., La, R., Chen, T. H., Chow, P. D., Velebr, J., Tan, K. L., Sre, D. C., Lu, P. H., Ponchak, G.: IEEE MTT-S In. Mcrowave Symp. Dg., 519 (1993). 4. Kwon, Y., Pavlds, D., Brock, T., Sre, D. C.: IEEE Trans. Mcrowave Th. Tech. 41, 36 (1993). 5. Saccon, F., D Carlo, A., Lugl, P., Morkoc, H., IEEE J. Sold-Sae Crc. 40, 174 (005). 6. Ja, S., Dkme, Y., Wang, D., Chen, K. J., Lau, K. M., Heuken, M.: IEEE Trans. Elecron Dev. 6, 130 (005). 7. Duh, K. H. G., Chao, P. C., Lu, S. M. J., Ho, P., Kao, M. Y., Ballngall, J. M.: IEEE Mcrowave Gud. Wave Le. 1, 114 (1991). 8. Kwon, Y., Pavlds, D., Brock, T. L., Sre, D. C.: IEEE Trans. Elecron Dev. 4, 1017 (1995). 9. Boudrssa, M., Delos, E., Wallaer, X., Théron, D., De Jaeger, J. C.: IEEE Trans. Elecron Dev., 57 (001). 10. La, Y. L., Chang, E. Y., Chang, C. Y., Chen, T. K., Lu, T. H., Wang, S. P., Chen, T. H., Lee, C. T.: IEEE Trans. Elecron Dev. 17, 9 (1996). 11. Chen, Y. C., Ingram, D. L., Yen, H. C., La, R., Sre, D. C.: IEEE Mcrowave Gud. Wave Le. 8, 34 (1998). 1. Ahn, H., El Nokal, M. A.: IEEE Trans. Elecron Devces 4, 598 (1995). 13. Guan, L., Chrsou, A., Halkas, G., Barbe, D. F.: IEEE Trans. Elecron Dev. 4, 61 (1995). 14. Moon, B. J., Byum, Y. H., Lee, K., Shur, M.: IEEE Trans. Elecron Dev. 37, 908 (1990). 15. Chang, C. S., Feerman, H. R.: IEEE Trans. Elecron Dev. 34, 1456 (1987). 16. Takano, C., Yu, Z., Duon, R. W.: IEEE Trans. Comp.-Aded Desgn 9, 117 (1990). 17. Park, D. H., Brennan, K. F.: IEEE Trans. Elecron Dev. 37, 618 (1990). 18. Lu, W. C., Chang, W. L., Lour, W. S., Pan, H. J., Wang, W. C., Chen, J. Y., Yu, K. H., Feng, S. C.: IEEE Trans. Elecron Dev. 0, 548 (1999). 19. Hess, K., Leburon, J. P., Ravaol, U. (eds): Compuaonal Elecroncs: Semconducor Transpor and Devce Smulaon, Sprnger, Wnsead, B., Tsuchya, H., Ravaol, U.: J. Comp. Elec. 1, 01 (00). 1. Hossen, S. E., Faez, R., Sadogh Yazd, H.: Jpn. J. Appl. Phys. 46, 747 (007).. Acharyya, A., Goswam, J., Banerjee, S., Banerjee, J. P.: J. Comp. Elec. 14, 309 (015). 3. Vasleska, D., Goodnck, S. M., Klmeck, G.: Compuaonal Elecroncs: Semclasscal and Quanum Devce Modelng and Smulaon, CRC Press, Sheng, Y., Xa, C.-S., L, Z.-M.-S., Ru, G.-P.: Op. Quan. Elec. 47, 659 (015). 5. Slvaco hp:// 6. FlexPDE hp:// 7. Sreeman, B. G., Banerjee, S.: Sold Sae Elecronc Devces, 6h ed., Prence Hall, Trellaks, A., Zbold, T., Andlauer, T., Brner, S., Ken, R., Smh, Morschl, R., Vogl, P.: J. Compu. Elecron. 5, 85 (006). 9. Sern, F., Sarma, S. D.: Phys. Rev. B 30, 840 (1984). 30. Saccon, F., D Carlo, A., Lugl, P., Morkoc, H.: IEEE Trans. Elecron Dev. 48, 450 (001). 31. Khoshnegar, M., Sodagar, M., Eekharan, A., Khorasan, S.: IEEE J. Quan. Elec. 46, 8 (010). 3. Sodagar, M., Khoshnegar, M., Eekharan, A., Khorasan, S.: J. Phys. B: A. Mol. Op. Phys. 4, (009). 33. Khorasan, S., Nojeh, A., Rashdan, B.: Fb. In. Op. 1, 173 (00). 34. Ye, P. D., Yang, B., Ng, K. K., Bude, J., Wlk, G. D., Halder, S., Hwang, J. C. M.: In. J. Hgh Speed Elecron. Sys. 14, 791 (004). 35. Gupa, R., Aggarwal, S. K., Gupa, M., Gupa, R. S.: Mcroelec. J. 37, 919 (006). 36. Faraclas, E. W., Islam, S. S., Anwar, A. F. M., Sold-Sae Elecron. 48, 1849 (004). 37. Agrawal, G. P., Dua, N. K.: Semconducor Lasers, Van Nosrand Renhold, nd ed., 1993.

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,

More information

Relative controllability of nonlinear systems with delays in control

Relative controllability of nonlinear systems with delays in control Relave conrollably o nonlnear sysems wh delays n conrol Jerzy Klamka Insue o Conrol Engneerng, Slesan Techncal Unversy, 44- Glwce, Poland. phone/ax : 48 32 37227, {jklamka}@a.polsl.glwce.pl Keywor: Conrollably.

More information

Bandlimited channel. Intersymbol interference (ISI) This non-ideal communication channel is also called dispersive channel

Bandlimited channel. Intersymbol interference (ISI) This non-ideal communication channel is also called dispersive channel Inersymol nererence ISI ISI s a sgnal-dependen orm o nererence ha arses ecause o devaons n he requency response o a channel rom he deal channel. Example: Bandlmed channel Tme Doman Bandlmed channel Frequency

More information

Linear Response Theory: The connection between QFT and experiments

Linear Response Theory: The connection between QFT and experiments Phys540.nb 39 3 Lnear Response Theory: The connecon beween QFT and expermens 3.1. Basc conceps and deas Q: ow do we measure he conducvy of a meal? A: we frs nroduce a weak elecrc feld E, and hen measure

More information

First-order piecewise-linear dynamic circuits

First-order piecewise-linear dynamic circuits Frs-order pecewse-lnear dynamc crcus. Fndng he soluon We wll sudy rs-order dynamc crcus composed o a nonlnear resse one-por, ermnaed eher by a lnear capacor or a lnear nducor (see Fg.. Nonlnear resse one-por

More information

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany Herarchcal Markov Normal Mxure models wh Applcaons o Fnancal Asse Reurns Appendx: Proofs of Theorems and Condonal Poseror Dsrbuons John Geweke a and Gann Amsano b a Deparmens of Economcs and Sascs, Unversy

More information

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae

More information

Time-interval analysis of β decay. V. Horvat and J. C. Hardy

Time-interval analysis of β decay. V. Horvat and J. C. Hardy Tme-nerval analyss of β decay V. Horva and J. C. Hardy Work on he even analyss of β decay [1] connued and resuled n he developmen of a novel mehod of bea-decay me-nerval analyss ha produces hghly accurae

More information

( ) () we define the interaction representation by the unitary transformation () = ()

( ) () we define the interaction representation by the unitary transformation () = () Hgher Order Perurbaon Theory Mchael Fowler 3/7/6 The neracon Represenaon Recall ha n he frs par of hs course sequence, we dscussed he chrödnger and Hesenberg represenaons of quanum mechancs here n he chrödnger

More information

Cubic Bezier Homotopy Function for Solving Exponential Equations

Cubic Bezier Homotopy Function for Solving Exponential Equations Penerb Journal of Advanced Research n Compung and Applcaons ISSN (onlne: 46-97 Vol. 4, No.. Pages -8, 6 omoopy Funcon for Solvng Eponenal Equaons S. S. Raml *,,. Mohamad Nor,a, N. S. Saharzan,b and M.

More information

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon

More information

Variants of Pegasos. December 11, 2009

Variants of Pegasos. December 11, 2009 Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on

More information

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes. umercal negraon of he dffuson equaon (I) Fne dfference mehod. Spaal screaon. Inernal nodes. R L V For hermal conducon le s dscree he spaal doman no small fne spans, =,,: Balance of parcles for an nernal

More information

Including the ordinary differential of distance with time as velocity makes a system of ordinary differential equations.

Including the ordinary differential of distance with time as velocity makes a system of ordinary differential equations. Soluons o Ordnary Derenal Equaons An ordnary derenal equaon has only one ndependen varable. A sysem o ordnary derenal equaons consss o several derenal equaons each wh he same ndependen varable. An eample

More information

FI 3103 Quantum Physics

FI 3103 Quantum Physics /9/4 FI 33 Quanum Physcs Aleander A. Iskandar Physcs of Magnesm and Phooncs Research Grou Insu Teknolog Bandung Basc Conces n Quanum Physcs Probably and Eecaon Value Hesenberg Uncerany Prncle Wave Funcon

More information

FTCS Solution to the Heat Equation

FTCS Solution to the Heat Equation FTCS Soluon o he Hea Equaon ME 448/548 Noes Gerald Reckenwald Porland Sae Unversy Deparmen of Mechancal Engneerng gerry@pdxedu ME 448/548: FTCS Soluon o he Hea Equaon Overvew Use he forward fne d erence

More information

On computing differential transform of nonlinear non-autonomous functions and its applications

On computing differential transform of nonlinear non-autonomous functions and its applications On compung dfferenal ransform of nonlnear non-auonomous funcons and s applcaons Essam. R. El-Zahar, and Abdelhalm Ebad Deparmen of Mahemacs, Faculy of Scences and Humanes, Prnce Saam Bn Abdulazz Unversy,

More information

NATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours

NATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours NATONAL UNVERSTY OF SNGAPORE PC5 ADVANCED STATSTCAL MECHANCS (Semeser : AY 1-13) Tme Allowed: Hours NSTRUCTONS TO CANDDATES 1. Ths examnaon paper conans 5 quesons and comprses 4 prned pages.. Answer all

More information

On One Analytic Method of. Constructing Program Controls

On One Analytic Method of. Constructing Program Controls Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna

More information

Density Matrix Description of NMR BCMB/CHEM 8190

Density Matrix Description of NMR BCMB/CHEM 8190 Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon Alernae approach o second order specra: ask abou x magnezaon nsead of energes and ranson probables. If we say wh one bass se, properes vary

More information

12d Model. Civil and Surveying Software. Drainage Analysis Module Detention/Retention Basins. Owen Thornton BE (Mech), 12d Model Programmer

12d Model. Civil and Surveying Software. Drainage Analysis Module Detention/Retention Basins. Owen Thornton BE (Mech), 12d Model Programmer d Model Cvl and Surveyng Soware Dranage Analyss Module Deenon/Reenon Basns Owen Thornon BE (Mech), d Model Programmer owen.hornon@d.com 4 January 007 Revsed: 04 Aprl 007 9 February 008 (8Cp) Ths documen

More information

CS286.2 Lecture 14: Quantum de Finetti Theorems II

CS286.2 Lecture 14: Quantum de Finetti Theorems II CS286.2 Lecure 14: Quanum de Fne Theorems II Scrbe: Mara Okounkova 1 Saemen of he heorem Recall he las saemen of he quanum de Fne heorem from he prevous lecure. Theorem 1 Quanum de Fne). Le ρ Dens C 2

More information

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!) i+1,q - [(! ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL The frs hng o es n wo-way ANOVA: Is here neracon? "No neracon" means: The man effecs model would f. Ths n urn means: In he neracon plo (wh A on he horzonal

More information

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL Sco Wsdom, John Hershey 2, Jonahan Le Roux 2, and Shnj Waanabe 2 Deparmen o Elecrcal Engneerng, Unversy o Washngon, Seale, WA, USA

More information

P R = P 0. The system is shown on the next figure:

P R = P 0. The system is shown on the next figure: TPG460 Reservor Smulaon 08 page of INTRODUCTION TO RESERVOIR SIMULATION Analycal and numercal soluons of smple one-dmensonal, one-phase flow equaons As an nroducon o reservor smulaon, we wll revew he smples

More information

Density Matrix Description of NMR BCMB/CHEM 8190

Density Matrix Description of NMR BCMB/CHEM 8190 Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon If we say wh one bass se, properes vary only because of changes n he coeffcens weghng each bass se funcon x = h< Ix > - hs s how we calculae

More information

PHYS 1443 Section 001 Lecture #4

PHYS 1443 Section 001 Lecture #4 PHYS 1443 Secon 001 Lecure #4 Monda, June 5, 006 Moon n Two Dmensons Moon under consan acceleraon Projecle Moon Mamum ranges and heghs Reerence Frames and relae moon Newon s Laws o Moon Force Newon s Law

More information

Motion of Wavepackets in Non-Hermitian. Quantum Mechanics

Motion of Wavepackets in Non-Hermitian. Quantum Mechanics Moon of Wavepaces n Non-Herman Quanum Mechancs Nmrod Moseyev Deparmen of Chemsry and Mnerva Cener for Non-lnear Physcs of Complex Sysems, Technon-Israel Insue of Technology www.echnon echnon.ac..ac.l\~nmrod

More information

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal

More information

Volatility Interpolation

Volatility Interpolation Volaly Inerpolaon Prelmnary Verson March 00 Jesper Andreasen and Bran Huge Danse Mares, Copenhagen wan.daddy@danseban.com brno@danseban.com Elecronc copy avalable a: hp://ssrn.com/absrac=69497 Inro Local

More information

2.1 Constitutive Theory

2.1 Constitutive Theory Secon.. Consuve Theory.. Consuve Equaons Governng Equaons The equaons governng he behavour of maerals are (n he spaal form) dρ v & ρ + ρdv v = + ρ = Conservaon of Mass (..a) d x σ j dv dvσ + b = ρ v& +

More information

Nonlinearity versus Perturbation Theory in Quantum Mechanics

Nonlinearity versus Perturbation Theory in Quantum Mechanics Nonlneary versus Perurbaon Theory n Quanum Mechancs he parcle-parcle Coulomb neracon Glber Rensch Scence Insue, Unversy o Iceland, Dunhaga 3, IS-107 Reykjavk, Iceland There are bascally wo "smple" (.e.

More information

Example: MOSFET Amplifier Distortion

Example: MOSFET Amplifier Distortion 4/25/2011 Example MSFET Amplfer Dsoron 1/9 Example: MSFET Amplfer Dsoron Recall hs crcu from a prevous handou: ( ) = I ( ) D D d 15.0 V RD = 5K v ( ) = V v ( ) D o v( ) - K = 2 0.25 ma/v V = 2.0 V 40V.

More information

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s Ordnary Dfferenal Equaons n Neuroscence wh Malab eamples. Am - Gan undersandng of how o se up and solve ODE s Am Undersand how o se up an solve a smple eample of he Hebb rule n D Our goal a end of class

More information

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS THE PREICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS INTROUCTION The wo dmensonal paral dfferenal equaons of second order can be used for he smulaon of compeve envronmen n busness The arcle presens he

More information

Solution in semi infinite diffusion couples (error function analysis)

Solution in semi infinite diffusion couples (error function analysis) Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of

More information

EG Low Voltage CMOS Fully Differential Current Feedback Amplifier with Controllable 3-dB Bandwidth

EG Low Voltage CMOS Fully Differential Current Feedback Amplifier with Controllable 3-dB Bandwidth EG0800330 Low olage CMS Fully Derenal Curren Feedback Ampler wh Conrollable 3dB Bandwdh Ahmed H. Madan 2, Mahmoud A. Ashour, Solman A. Mahmoud 2, and Ahmed M. Solman 3 adaon Engneerng Dep., NCT, EAEA Caro,

More information

Sampling Procedure of the Sum of two Binary Markov Process Realizations

Sampling Procedure of the Sum of two Binary Markov Process Realizations Samplng Procedure of he Sum of wo Bnary Markov Process Realzaons YURY GORITSKIY Dep. of Mahemacal Modelng of Moscow Power Insue (Techncal Unversy), Moscow, RUSSIA, E-mal: gorsky@yandex.ru VLADIMIR KAZAKOV

More information

APPROXIMATE ANALYTIC SOLUTIONS OF A NONLINEAR ELASTIC WAVE EQUATIONS WITH THE ANHARMONIC CORRECTION

APPROXIMATE ANALYTIC SOLUTIONS OF A NONLINEAR ELASTIC WAVE EQUATIONS WITH THE ANHARMONIC CORRECTION THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY Seres A OF THE ROMANIAN ACADEMY Volume 6 Number /5 pp 8 86 APPROXIMATE ANALYTIC SOLUTIONS OF A NONLINEAR ELASTIC WAVE EQUATIONS WITH THE ANHARMONIC

More information

E c. i f. (c) The built-in potential between the collector and emitter is. 18 ae bicb

E c. i f. (c) The built-in potential between the collector and emitter is. 18 ae bicb haer 8 nergy and Dagram of T 8 a & b or he gven dong concenraons, one comues f - = -05 ev, 049 ev, and 099 ev n he emer, base and collecor, resecvely Also wh a >> d, he - deleon wdh wll le almos eclusvely

More information

II. Light is a Ray (Geometrical Optics)

II. Light is a Ray (Geometrical Optics) II Lgh s a Ray (Geomercal Opcs) IIB Reflecon and Refracon Hero s Prncple of Leas Dsance Law of Reflecon Hero of Aleandra, who lved n he 2 nd cenury BC, posulaed he followng prncple: Prncple of Leas Dsance:

More information

Introduction ( Week 1-2) Course introduction A brief introduction to molecular biology A brief introduction to sequence comparison Part I: Algorithms

Introduction ( Week 1-2) Course introduction A brief introduction to molecular biology A brief introduction to sequence comparison Part I: Algorithms Course organzaon Inroducon Wee -2) Course nroducon A bref nroducon o molecular bology A bref nroducon o sequence comparson Par I: Algorhms for Sequence Analyss Wee 3-8) Chaper -3, Models and heores» Probably

More information

Robustness Experiments with Two Variance Components

Robustness Experiments with Two Variance Components Naonal Insue of Sandards and Technology (NIST) Informaon Technology Laboraory (ITL) Sascal Engneerng Dvson (SED) Robusness Expermens wh Two Varance Componens by Ana Ivelsse Avlés avles@ns.gov Conference

More information

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5 TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres

More information

Anisotropic Behaviors and Its Application on Sheet Metal Stamping Processes

Anisotropic Behaviors and Its Application on Sheet Metal Stamping Processes Ansoropc Behavors and Is Applcaon on Shee Meal Sampng Processes Welong Hu ETA-Engneerng Technology Assocaes, Inc. 33 E. Maple oad, Sue 00 Troy, MI 48083 USA 48-79-300 whu@ea.com Jeanne He ETA-Engneerng

More information

Analytical Solution to Optimal Control by Orthogonal Polynomial Expansion

Analytical Solution to Optimal Control by Orthogonal Polynomial Expansion Proceedngs o he World Congress on Engneerng and Compuer cence WCEC, Ocober -,, an Francsco, UA Analycal oluon o Opmal Conrol by Orhogonal Polynomal Expanson B. ous,. A. avallae,. K. Yadavar Nravesh Absrac

More information

Computing Relevance, Similarity: The Vector Space Model

Computing Relevance, Similarity: The Vector Space Model Compung Relevance, Smlary: The Vecor Space Model Based on Larson and Hears s sldes a UC-Bereley hp://.sms.bereley.edu/courses/s0/f00/ aabase Managemen Sysems, R. Ramarshnan ocumen Vecors v ocumens are

More information

Math 128b Project. Jude Yuen

Math 128b Project. Jude Yuen Mah 8b Proec Jude Yuen . Inroducon Le { Z } be a sequence of observed ndependen vecor varables. If he elemens of Z have a on normal dsrbuon hen { Z } has a mean vecor Z and a varancecovarance marx z. Geomercally

More information

Let s treat the problem of the response of a system to an applied external force. Again,

Let s treat the problem of the response of a system to an applied external force. Again, Page 33 QUANTUM LNEAR RESPONSE FUNCTON Le s rea he problem of he response of a sysem o an appled exernal force. Agan, H() H f () A H + V () Exernal agen acng on nernal varable Hamlonan for equlbrum sysem

More information

Chapter 6: AC Circuits

Chapter 6: AC Circuits Chaper 6: AC Crcus Chaper 6: Oulne Phasors and he AC Seady Sae AC Crcus A sable, lnear crcu operang n he seady sae wh snusodal excaon (.e., snusodal seady sae. Complee response forced response naural response.

More information

Polymerization Technology Laboratory Course

Polymerization Technology Laboratory Course Prakkum Polymer Scence/Polymersaonsechnk Versuch Resdence Tme Dsrbuon Polymerzaon Technology Laboraory Course Resdence Tme Dsrbuon of Chemcal Reacors If molecules or elemens of a flud are akng dfferen

More information

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim Korean J. Mah. 19 (2011), No. 3, pp. 263 272 GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS Youngwoo Ahn and Kae Km Absrac. In he paper [1], an explc correspondence beween ceran

More information

Diffusion of Heptane in Polyethylene Vinyl Acetate: Modelisation and Experimentation

Diffusion of Heptane in Polyethylene Vinyl Acetate: Modelisation and Experimentation IOSR Journal of Appled hemsry (IOSR-JA) e-issn: 78-5736.Volume 7, Issue 6 Ver. I. (Jun. 4), PP 8-86 Dffuson of Hepane n Polyehylene Vnyl Aceae: odelsaon and Expermenaon Rachd Aman *, Façal oubarak, hammed

More information

Numerical Simulation of the Dispersion of a Plume of Exhaust Gases from Diesel and Petrol Engine Vehicles

Numerical Simulation of the Dispersion of a Plume of Exhaust Gases from Diesel and Petrol Engine Vehicles World Academy of Scence, Engneerng and Technology 67 01 Numercal Smulaon of he Dsperson of a Plume of Exhaus Gases from Desel and Perol Engne Vehcles H. ZAHLOUL, and M. MERIEM-BENZIANE Absrac The obecve

More information

This document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore.

This document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore. Ths documen s downloaded from DR-NTU, Nanyang Technologcal Unversy Lbrary, Sngapore. Tle A smplfed verb machng algorhm for word paron n vsual speech processng( Acceped verson ) Auhor(s) Foo, Say We; Yong,

More information

MONTE CARLO ALGORITHM FOR CLASPING SEARCH AND NEUTRON LEAKAGE

MONTE CARLO ALGORITHM FOR CLASPING SEARCH AND NEUTRON LEAKAGE Sep. 5. Vol. 7. No. Inernaonal Journal o Engneerng and Appled Scences - 5 EAAS & ARF. All rghs reserved www.eaas-ournal.org MONTE CARLO ALGORITHM FOR CLASPING SEARCH AND NEUTRON LEAKAGE PEYMAN MAJNOUN,

More information

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4 CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped

More information

Single-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method

Single-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method 10 h US Naonal Congress on Compuaonal Mechancs Columbus, Oho 16-19, 2009 Sngle-loop Sysem Relably-Based Desgn & Topology Opmzaon (SRBDO/SRBTO): A Marx-based Sysem Relably (MSR) Mehod Tam Nguyen, Junho

More information

Chapters 2 Kinematics. Position, Distance, Displacement

Chapters 2 Kinematics. Position, Distance, Displacement Chapers Knemacs Poson, Dsance, Dsplacemen Mechancs: Knemacs and Dynamcs. Knemacs deals wh moon, bu s no concerned wh he cause o moon. Dynamcs deals wh he relaonshp beween orce and moon. The word dsplacemen

More information

Structural Optimization Using Metamodels

Structural Optimization Using Metamodels Srucural Opmzaon Usng Meamodels 30 Mar. 007 Dep. o Mechancal Engneerng Dong-A Unvers Korea Kwon-Hee Lee Conens. Numercal Opmzaon. Opmzaon Usng Meamodels Impac beam desgn WB Door desgn 3. Robus Opmzaon

More information

3. OVERVIEW OF NUMERICAL METHODS

3. OVERVIEW OF NUMERICAL METHODS 3 OVERVIEW OF NUMERICAL METHODS 3 Inroducory remarks Ths chaper summarzes hose numercal echnques whose knowledge s ndspensable for he undersandng of he dfferen dscree elemen mehods: he Newon-Raphson-mehod,

More information

Performance Analysis for a Network having Standby Redundant Unit with Waiting in Repair

Performance Analysis for a Network having Standby Redundant Unit with Waiting in Repair TECHNI Inernaonal Journal of Compung Scence Communcaon Technologes VOL.5 NO. July 22 (ISSN 974-3375 erformance nalyss for a Nework havng Sby edundan Un wh ang n epar Jendra Sngh 2 abns orwal 2 Deparmen

More information

10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current :

10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current : . A. IUITS Synopss : GOWTH OF UNT IN IUIT : d. When swch S s closed a =; = d. A me, curren = e 3. The consan / has dmensons of me and s called he nducve me consan ( τ ) of he crcu. 4. = τ; =.63, n one

More information

2/20/2013. EE 101 Midterm 2 Review

2/20/2013. EE 101 Midterm 2 Review //3 EE Mderm eew //3 Volage-mplfer Model The npu ressance s he equalen ressance see when lookng no he npu ermnals of he amplfer. o s he oupu ressance. I causes he oupu olage o decrease as he load ressance

More information

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation Global Journal of Pure and Appled Mahemacs. ISSN 973-768 Volume 4, Number 6 (8), pp. 89-87 Research Inda Publcaons hp://www.rpublcaon.com Exsence and Unqueness Resuls for Random Impulsve Inegro-Dfferenal

More information

Stochastic Maxwell Equations in Photonic Crystal Modeling and Simulations

Stochastic Maxwell Equations in Photonic Crystal Modeling and Simulations Sochasc Maxwell Equaons n Phoonc Crsal Modelng and Smulaons Hao-Mn Zhou School of Mah Georga Insue of Technolog Jon work wh: Al Adb ECE Majd Bade ECE Shu-Nee Chow Mah IPAM UCLA Aprl 14-18 2008 Parall suppored

More information

A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION

A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION S19 A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION by Xaojun YANG a,b, Yugu YANG a*, Carlo CATTANI c, and Mngzheng ZHU b a Sae Key Laboraory for Geomechancs and Deep Underground Engneerng, Chna Unversy

More information

Outline. Probabilistic Model Learning. Probabilistic Model Learning. Probabilistic Model for Time-series Data: Hidden Markov Model

Outline. Probabilistic Model Learning. Probabilistic Model Learning. Probabilistic Model for Time-series Data: Hidden Markov Model Probablsc Model for Tme-seres Daa: Hdden Markov Model Hrosh Mamsuka Bonformacs Cener Kyoo Unversy Oulne Three Problems for probablsc models n machne learnng. Compung lkelhood 2. Learnng 3. Parsng (predcon

More information

M. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria

M. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria IOSR Journal of Mahemacs (IOSR-JM e-issn: 78-578, p-issn: 9-765X. Volume 0, Issue 4 Ver. IV (Jul-Aug. 04, PP 40-44 Mulple SolonSoluons for a (+-dmensonalhroa-sasuma shallow waer wave equaon UsngPanlevé-Bӓclund

More information

Chapter Lagrangian Interpolation

Chapter Lagrangian Interpolation Chaper 5.4 agrangan Inerpolaon Afer readng hs chaper you should be able o:. dere agrangan mehod of nerpolaon. sole problems usng agrangan mehod of nerpolaon and. use agrangan nerpolans o fnd deraes and

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm H ( q, p, ) = q p L( q, q, ) H p = q H q = p H = L Equvalen o Lagrangan formalsm Smpler, bu

More information

The Finite Element Method for the Analysis of Non-Linear and Dynamic Systems

The Finite Element Method for the Analysis of Non-Linear and Dynamic Systems Swss Federal Insue of Page 1 The Fne Elemen Mehod for he Analyss of Non-Lnear and Dynamc Sysems Prof. Dr. Mchael Havbro Faber Dr. Nebojsa Mojslovc Swss Federal Insue of ETH Zurch, Swzerland Mehod of Fne

More information

Lecture 18: The Laplace Transform (See Sections and 14.7 in Boas)

Lecture 18: The Laplace Transform (See Sections and 14.7 in Boas) Lecure 8: The Lalace Transform (See Secons 88- and 47 n Boas) Recall ha our bg-cure goal s he analyss of he dfferenal equaon, ax bx cx F, where we emloy varous exansons for he drvng funcon F deendng on

More information

Comb Filters. Comb Filters

Comb Filters. Comb Filters The smple flers dscussed so far are characered eher by a sngle passband and/or a sngle sopband There are applcaons where flers wh mulple passbands and sopbands are requred Thecomb fler s an example of

More information

Transient Response in Electric Circuits

Transient Response in Electric Circuits Transen esponse n Elecrc rcus The elemen equaon for he branch of he fgure when he source s gven by a generc funcon of me, s v () r d r ds = r Mrs d d r (')d' () V The crcu s descrbed by he opology equaons

More information

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005 Dynamc Team Decson Theory EECS 558 Proec Shruvandana Sharma and Davd Shuman December 0, 005 Oulne Inroducon o Team Decson Theory Decomposon of he Dynamc Team Decson Problem Equvalence of Sac and Dynamc

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm Hqp (,,) = qp Lqq (,,) H p = q H q = p H L = Equvalen o Lagrangan formalsm Smpler, bu wce as

More information

Tools for Analysis of Accelerated Life and Degradation Test Data

Tools for Analysis of Accelerated Life and Degradation Test Data Acceleraed Sress Tesng and Relably Tools for Analyss of Acceleraed Lfe and Degradaon Tes Daa Presened by: Reuel Smh Unversy of Maryland College Park smhrc@umd.edu Sepember-5-6 Sepember 28-30 206, Pensacola

More information

Material Science Simulations using PWmat

Material Science Simulations using PWmat Maeral Scence Smulaons usng PWma Ln-Wang Wang Chef Techncal Advsor, LongXu Oulne 1 Charge pachng mehod for nanosrucure calculaons 2 Shockley-Read-Hall nonradave decay calculaons 3 Real-me TDDFT smulaons

More information

ELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION

ELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION THE 19 TH INTERNATIONAL ONFERENE ON OMPOSITE MATERIALS ELASTI MODULUS ESTIMATION OF HOPPED ARBON FIBER TAPE REINFORED THERMOPLASTIS USING THE MONTE ARLO SIMULATION Y. Sao 1*, J. Takahash 1, T. Masuo 1,

More information

New M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study)

New M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study) Inernaonal Mahemacal Forum, Vol. 8, 3, no., 7 - HIKARI Ld, www.m-hkar.com hp://dx.do.org/.988/mf.3.3488 New M-Esmaor Objecve Funcon n Smulaneous Equaons Model (A Comparave Sudy) Ahmed H. Youssef Professor

More information

Multi-Fuel and Mixed-Mode IC Engine Combustion Simulation with a Detailed Chemistry Based Progress Variable Library Approach

Multi-Fuel and Mixed-Mode IC Engine Combustion Simulation with a Detailed Chemistry Based Progress Variable Library Approach Mul-Fuel and Med-Mode IC Engne Combuson Smulaon wh a Dealed Chemsry Based Progress Varable Lbrary Approach Conens Inroducon Approach Resuls Conclusons 2 Inroducon New Combuson Model- PVM-MF New Legslaons

More information

Born Oppenheimer Approximation and Beyond

Born Oppenheimer Approximation and Beyond L Born Oppenhemer Approxmaon and Beyond aro Barba A*dex Char Professor maro.barba@unv amu.fr Ax arselle Unversé, nsu de Chme Radcalare LGHT AD Adabac x dabac x nonadabac LGHT AD From Gree dabaos: o be

More information

A Paper presentation on. Department of Hydrology, Indian Institute of Technology, Roorkee

A Paper presentation on. Department of Hydrology, Indian Institute of Technology, Roorkee A Paper presenaon on EXPERIMENTAL INVESTIGATION OF RAINFALL RUNOFF PROCESS by Ank Cakravar M.K.Jan Kapl Rola Deparmen of Hydrology, Indan Insue of Tecnology, Roorkee-247667 Inroducon Ranfall-runoff processes

More information

. The geometric multiplicity is dim[ker( λi. number of linearly independent eigenvectors associated with this eigenvalue.

. The geometric multiplicity is dim[ker( λi. number of linearly independent eigenvectors associated with this eigenvalue. Lnear Algebra Lecure # Noes We connue wh he dscusson of egenvalues, egenvecors, and dagonalzably of marces We wan o know, n parcular wha condons wll assure ha a marx can be dagonalzed and wha he obsrucons

More information

COMPUTER SCIENCE 349A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PARTS 1, 2

COMPUTER SCIENCE 349A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PARTS 1, 2 COMPUTE SCIENCE 49A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PATS, PAT.. a Dene he erm ll-ondoned problem. b Gve an eample o a polynomal ha has ll-ondoned zeros.. Consder evaluaon o anh, where e e anh. e e

More information

Different kind of oscillation

Different kind of oscillation PhO 98 Theorecal Qeson.Elecrcy Problem (8 pons) Deren knd o oscllaon e s consder he elecrc crc n he gre, or whch mh, mh, nf, nf and kω. The swch K beng closed he crc s copled wh a sorce o alernang crren.

More information

FRACTIONAL OPTICAL SOLITARY WAVE SOLUTIONS OF THE HIGHER-ORDER NONLINEAR SCHRÖDINGER EQUATION

FRACTIONAL OPTICAL SOLITARY WAVE SOLUTIONS OF THE HIGHER-ORDER NONLINEAR SCHRÖDINGER EQUATION THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY Seres A OF THE ROMANIAN ACADEMY Volume Number /00x pp. 9 00 FRACTIONAL OPTICAL SOLITARY WAVE SOLUTIONS OF THE HIGHER-ORDER NONLINEAR SCHRÖDINGER

More information

Comparative Research on Multi-missile Cooperative Attack. Between the Differential Game and Proportional Navigation Method

Comparative Research on Multi-missile Cooperative Attack. Between the Differential Game and Proportional Navigation Method 6 Sxh Inernaonal Conerence on Insrumenaon & easuremen, Compuer, Communcaon and Conrol Comparave Research on ul-mssle Cooperave Aac Beween he Derenal Game and Proporonal Navgaon ehod Guangyan Xu, Guangpu

More information

5th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2015)

5th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2015) 5h Inernaonal onference on Advanced Desgn and Manufacurng Engneerng (IADME 5 The Falure Rae Expermenal Sudy of Specal N Machne Tool hunshan He, a, *, La Pan,b and Bng Hu 3,c,,3 ollege of Mechancal and

More information

e-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov

e-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov June 7 e-ournal Relably: Theory& Applcaons No (Vol. CONFIDENCE INTERVALS ASSOCIATED WITH PERFORMANCE ANALYSIS OF SYMMETRIC LARGE CLOSED CLIENT/SERVER COMPUTER NETWORKS Absrac Vyacheslav Abramov School

More information

TSS = SST + SSE An orthogonal partition of the total SS

TSS = SST + SSE An orthogonal partition of the total SS ANOVA: Topc 4. Orhogonal conrass [ST&D p. 183] H 0 : µ 1 = µ =... = µ H 1 : The mean of a leas one reamen group s dfferen To es hs hypohess, a basc ANOVA allocaes he varaon among reamen means (SST) equally

More information

THERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2)

THERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2) Company LOGO THERMODYNAMICS The Frs Law and Oher Basc Conceps (par ) Deparmen of Chemcal Engneerng, Semarang Sae Unversy Dhon Harano S.T., M.T., M.Sc. Have you ever cooked? Equlbrum Equlbrum (con.) Equlbrum

More information

Transcription: Messenger RNA, mrna, is produced and transported to Ribosomes

Transcription: Messenger RNA, mrna, is produced and transported to Ribosomes Quanave Cenral Dogma I Reference hp//book.bonumbers.org Inaon ranscrpon RNA polymerase and ranscrpon Facor (F) s bnds o promoer regon of DNA ranscrpon Meenger RNA, mrna, s produced and ranspored o Rbosomes

More information

Dual Approximate Dynamic Programming for Large Scale Hydro Valleys

Dual Approximate Dynamic Programming for Large Scale Hydro Valleys Dual Approxmae Dynamc Programmng for Large Scale Hydro Valleys Perre Carpener and Jean-Phlppe Chanceler 1 ENSTA ParsTech and ENPC ParsTech CMM Workshop, January 2016 1 Jon work wh J.-C. Alas, suppored

More information

An introduction to Support Vector Machine

An introduction to Support Vector Machine An nroducon o Suppor Vecor Machne 報告者 : 黃立德 References: Smon Haykn, "Neural Neworks: a comprehensve foundaon, second edon, 999, Chaper 2,6 Nello Chrsann, John Shawe-Tayer, An Inroducon o Suppor Vecor Machnes,

More information

Optimal environmental charges under imperfect compliance

Optimal environmental charges under imperfect compliance ISSN 1 746-7233, England, UK World Journal of Modellng and Smulaon Vol. 4 (28) No. 2, pp. 131-139 Opmal envronmenal charges under mperfec complance Dajn Lu 1, Ya Wang 2 Tazhou Insue of Scence and Technology,

More information

Survival Analysis and Reliability. A Note on the Mean Residual Life Function of a Parallel System

Survival Analysis and Reliability. A Note on the Mean Residual Life Function of a Parallel System Communcaons n Sascs Theory and Mehods, 34: 475 484, 2005 Copyrgh Taylor & Francs, Inc. ISSN: 0361-0926 prn/1532-415x onlne DOI: 10.1081/STA-200047430 Survval Analyss and Relably A Noe on he Mean Resdual

More information

WiH Wei He

WiH Wei He Sysem Idenfcaon of onlnear Sae-Space Space Baery odels WH We He wehe@calce.umd.edu Advsor: Dr. Chaochao Chen Deparmen of echancal Engneerng Unversy of aryland, College Par 1 Unversy of aryland Bacground

More information

Lecture 9: Dynamic Properties

Lecture 9: Dynamic Properties Shor Course on Molecular Dynamcs Smulaon Lecure 9: Dynamc Properes Professor A. Marn Purdue Unversy Hgh Level Course Oulne 1. MD Bascs. Poenal Energy Funcons 3. Inegraon Algorhms 4. Temperaure Conrol 5.

More information