Material Science Simulations using PWmat
|
|
- Martin Stokes
- 6 years ago
- Views:
Transcription
1 Maeral Scence Smulaons usng PWma Ln-Wang Wang Chef Techncal Advsor, LongXu
2 Oulne 1 Charge pachng mehod for nanosrucure calculaons 2 Shockley-Read-Hall nonradave decay calculaons 3 Real-me TDDFT smulaons 4 Quanum ranspor calculaons 5 Acceleraed aomc relaxaon 6 DFT band gap correcon They are examples of our mehodology developmens, and hey wll be able o be calculaed by PWma n he fuure
3 Charge pachng: free sandng quanum dos In 675 P 652 LDA qualy calculaons egen energy error ~ 20 mev 64 processors IBM SP3 for ~ 1 hour Toal charge densy CBM VBM mofs The band edge egensaes are calculaed usng lnear scalng folded specrum mehod FSM, whch allows for 10,000 aom calculaons.
4 The accuracy for he small S quanum do 8 22
5 Folded Specrum Mehod H ref ref H 2 2 N } 2 1 { 2 r E r r V
6 CdSe quanum do resuls
7 Quanum do and wre calculaons for semconducor maerals IV-IV: S III-V: GaAs, InAs, InP, GaN, AlN, InN II-VI: CdSe, CdS, CdTe, ZnSe, ZnS, ZnTe, ZnO
8 Effec of surface dpole and CdS core n a CdSe rod Cd ermnaed surface Cd and Se ermnaed surface
9 2 1 2 r r r V r P r V c c c v C LDA r r r V r P r V v v v c C LDA Naural band algnmen 0.28 ev 0.54 ev A selfconssen calculaon for a bound excon ],, [ 2 1 ' ' ' r r W r r Lm W r P bulk r r 4 ] [ 2 r r V r C V V C
10 The Shallow Level Problem and Challenge S shallow accepors: B, Al, Ga, In, Tl Effecve mass/k.p heory: all her bndng energy = 32 mev The expermenal values mev B Al Ga In Tl Ths s ofen arbued o he onse poenal, besdes 1/ε r I s embarrassng ha we sll canno calculae he smple bndng energy
11 How o ge he poenal Vr? LDA Kohn-Sham equaon of a closed shell sysem as approxmaon for GW Eq.: 1 2 V r r r V V V 2 Use 512 aom perodc supercell, one accepor a he cener, 2048 elecron o ge V 512,N r 64,000 aoms V Coul negh r 1 Rmpury 0 r R 512 aoms r ousde he box r nsde he box Vr=1/εr+V bulk r V, Coul r V512 N r Vnegh r
12 64,000 aom VBM wavefuncons 20a In mpury Only showng he wavefuncon whn he 40968a box n mpury Bu even he 64,000 aom calculaons are no compleely converged, exrapolaon s needed o ge he ε_b
13 Fnal resuls based on he Schrodnger s equaon elemen B Al Ga In Tl ε_b exp mev ε_b calc mev Concluson: he rend s correc, bu quanavely, s no que correc ye. LDA s no good enough! We hen nroduce he correcon from 64 aom GW calculaons elemen B Al Ga In Tl ε_b exp mev ε_b calc mev
14 Calc. Eb mev Accepor level n S and GaAs, GaP Exp Eb mev S:B, S:Al, S:Ga, S:In, S:Tl, GaP:B, GaAs:S, GaAs:Ge, GaAs:Sn,GaAs:Mg
15 Oulne 1 Charge pachng mehod for nanosrucure calculaons 2 Shockley-Read-Hall nonradave decay calculaons 3 Real-me TDDFT smulaons 4 Quanum ranspor calculaons 5 Acceleraed aomc relaxaon 6 DFT band gap correcon They are examples of our mehodology developmens, and hey wll be able o be calculaed by PWma n he fuure
16 Deep sae decay: wha we need o calculae? SRH carrer nonradave recombnaon A long sandng problem haven been solved by ab no mehod mpury 1 Elecronc sae energes: Usng convenonal deep sae calculaon mehods EN+1-EN. 2 Phonon frequences and modes: We wll use an approxmae mehod o calculae he dynamc marx 3 Elecron-phonon couplng consans: We wll nroduce a new varaonal algorhm
17 The formalsm Freed and Jorner, J. Chem. Phys. 50, ω k : phonon frequency for mode k, ΔE sl : dfference beween saes s and l C k sl s H k l Elecron-phonon couplng consan E M : he reorganzaon energy j j s l D j j 1/ 2 j Q j Q j j j n M 1/ 2 D 2 s lke he reorganzaon energy E yk / 2 λ k
18 Zn-V N cener n GaN n-ype for hole rappng CBM mpury 0.9 ev VBM 299 aom supercell
19 Approxmaed Hessan marx for phonon mode ' ', 2 ' R R R R M k k R k ' ' 1 ' 1 ', ' 2 ' R R F M M R R E M M R R M R R R R R
20 Elecron-phonon calculaons C k sl s H k l Ψ s, ψ l are already known, bu need hundreds of SCF calc. o ge δh/δμ k. New algorhm: one SCF calculaon o ge all C k sl: r occ 2 l k fxed Then normal SCF calculaon o ge he KS wave funcons, and Feynman-Hellman mehod o calculae he aomc forces F R Then one can prove usng varaonal prncple: F R l H R k Then, F R, ogeher wh phonon mode μ k R can be used o consruc C k sl. Smlar formalsm also works for hybrd funconal
21 The roles of dfferen phonon modes Passvaon modes mulple phonon emsson o sasfy energy conservaon Smulaon modes large elecron-phonon couplng consans
22 The resuls Exp Sac Adabac Marcus heory Quanum CT rae 1D quanum formula GaP:Zn Ga-O P GaN:Z n Ga -V N 1.46 x 10-7
23 Oulne 1 Charge pachng mehod for nanosrucure calculaons 2 Shockley-Read-Hall nonradave decay calculaons 3 Real-me TDDFT smulaons 4 Quanum ranspor calculaons 5 Acceleraed aomc relaxaon 6 DFT band gap correcon They are examples of our mehodology developmens, and hey wll be able o be calculaed by PWma n he fuure
24 Real-me TDDFT mehod r-tddft R-TDDFT can be used o sudy many phenomena Sysem response o an arbrary Vr, perurbaon Nonlnear response coeffcens Ulra-fas dynamcs carrer coolng and charge njecon Ion-collson Carrer ranspors We wll mplemen r-tddft as Ehrenfes dynamcs me dependen Schrodnger s eq for elecron dynamcs Newon s law for nuclear dynamcs E o 1 R 2 R M 2 R H M R E DFT [, R] 2 KS[ ] R F R F R R E DFT [, R] Hellman-Feyman force
25 Drec wave funcon me evoluon Tme dependen Schrodnger s Eq. for elecron wave funcon Newon s law for nuclear movemen
26 Convenonal real-me TDDFT mehod exp H exp H 1H Need HΔ << 1 For PW, H ~ 200 ev, Δ < 2x10-5 fs!! I could be a housand mes slower han ab no MD!
27 A new algorhm o accelerae he me negraon,,, V j C C C j j ] [ R H I only needs o solve ϕ every Δ~ 0.2 fs. H H H 1 1 Δ Δ Φ 0 Φ Δ Φ 2Δ d = 10-4 fs, C
28 A smplfed formalsm j j j j ', 1 1 ', 1 ' 1 ', H H H H ' ', ',,, C V C C Insead of: ',, ' ', C H C We do: no need o dagonalze H every d V j can have sharp peak wh
29 Inegrae ψ from 1 o 1 +Δ d Δ H, ' 1, ' 1 H, ' C, C ' d e e H, ' C ', H 0.5d d C 0.5 d 0.5d 1 H 0.5 d e e C d 10-3 fs Taylor expanson Due o he runcaon of adabac bass ypcally 10 ev above CBM, he negraon of C does no ake me
30 Comparson: new mehod and convenonal mehod CdSe bulk wh random movemen 1 2 = 1 +1fs
31 Opcal absorpon calculaon New mehod: r-ddf PWscf: perurbav TDDFT a.u 50 aom Au nanocluser
32 Exced sae coolng n a 100 Al aom cluser Toal energy conservaon
33 A Cl- on colldng on MoSe2
34 TD: r-tddft: BO: Born-Oppenhemer Knec and poenal energes
35 Plasmon excaon for a Ag55 nanocluser
36 Sngle parcle and plasmon excaon n Ag55
37 Oulne 1 Charge pachng mehod for nanosrucure calculaons 2 Shockley-Read-Hall nonradave decay calculaons 3 Real-me TDDFT smulaons 4 Quanum ranspor calculaons 5 Acceleraed aomc relaxaon 6 DFT band gap correcon They are examples of our mehodology developmens, and hey wll be able o be calculaed by PWma n he fuure
38 Elecron quanum ranspor problem r exp k E r r exp k E r { V r} r E r exp k E r In comng wave Transmed wave Refleced wave I s a Schrodnger s equaon wh an open boundary condon
39 The dea For a gven E, solve l r from he lnear equaon 1 2 { V r E} l r Wl r 2 for many W l r, hen recombne hese l r o ge he proper open boundary condons a he elecrode. W l r are only nonzero near he boundary of he supercell The above lnear equaon s solved usng he conjugae graden mehod n an lower egen saes deflaed space so he marx s posve defne. Transpor calculaon usng nonlocal pseudopoenal and PW bass
40 The resuls The scaerng sae wave funcons The ransmsson coeff. of a benzene molecule under dfferen volage bases.
41 Use ranspor calculaon o sudy 2D TFET
42 Oulne 1 Charge pachng mehod for nanosrucure calculaons 2 Shockley-Read-Hall nonradave decay calculaons 3 Real-me TDDFT smulaons 4 Quanum ranspor calculaons 5 Acceleraed aomc relaxaon 6 DFT band gap correcon They are examples of our mehodology developmens, and hey wll be able o be calculaed by PWma n he fuure
43 Fng a Lennard-Jones LJ poenal o ge approx. Hessan On he flgh fng o yeld he approxmaed Hessan marx Then use for CG or BFGS aomc relaxaons
44 The fed Hessan marx for Cd4Se4 and S20 DFT LJ Cd4Se4 S 20 Zhanghu Chen, Jngbo L, Shu-Shen L and Lnwang Wang. Phys. Rev. B. 89, , 2014.
45 Acceleraon wh he fed Hessan
46 Use surrogae poenal on-he-flgh fed poenal as our gude. A curved lne mnmzaon algorhm The precondon s only useful close o he mnmum Wha happen f he nal confguraon s far away from he mnmum Improve he lne-mnmzaon sep The bes lne pah mgh no be a sragh lne, perhaps s a curved lne roaon of a molecule or orson angle, ec For some sysems, hs can be addressed by usng he proper nernal coordnaes Bu we need a more general approach
47 The procedure Sep 1: Inalzaon Sep 2: Force fng for he force feld Sep 3: Compue curved pah from force feld Sep 4: Do curve lne mnmzaon usng DFT Sep 5: Back o sep 2 for nex eraon
48 On he flgh fng of he force feld Meal clusers Gupa Force feld for meal clusers Fng objecve for aj, bj, pj, qj, rj0: mn k Gupa DFT 2 k k T F F Resrcon: aj=aj, pj=pj ; cu-off dsance; parameer regon resrcon, e.g. [amn amax].
49 Resuls for curved mnmzaon scheme Ieraon seps
50 Oulne 1 Charge pachng mehod for nanosrucure calculaons 2 Shockley-Read-Hall nonradave decay calculaons 3 Real-me TDDFT smulaons 4 Quanum ranspor calculaons 5 Acceleraed aomc relaxaon 6 DFT band gap correcon They are examples of our mehodology developmens, and hey wll be able o be calculaed by PWma n he fuure
51 Perdew e al., PRL 49, The DFT band gap error
52 Enforce he lnear condon l l l l LDA w w H H l l l l s s E E l ] 1 1 [ 2 N E s N E s w s E s E l l l l LDA l l Bu for bulk sysems, w l s exended, and λ l s zero
53 Solved hs problem by usng Wanner funcons for W l Usng Wanner90 o generae he Wanner funcons
54 Calculaons ev Band gap correcon for bulk semconducors lda cor
55 Benzene Wanner funcon s no egen fucnon Correc rends Exend o bulk
56 The energy levels nsde he bands
57 Conclusons There are much o be done for algorhm developmens We have many new algorhms and mehods All hese algorhms are planned o be mplemened n PWma We can do many problems wh PWma Thank you!
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 informationMechanics 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 informationDensity 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 informationLet 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 informationMechanics 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 informationBorn 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 informationDensity 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 informationLecture 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 informationLinear 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( ) () 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 informationCS434a/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 informationNotes on the stability of dynamic systems and the use of Eigen Values.
Noes on he sabl of dnamc ssems and he use of Egen Values. Source: Macro II course noes, Dr. Davd Bessler s Tme Seres course noes, zarads (999) Ineremporal Macroeconomcs chaper 4 & Techncal ppend, and Hamlon
More informationApproximate 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 informationSolution 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 informationOrdinary 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 informationExistence 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 information2.1 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 informationDual 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 informationMechanics Physics 151
Mechancs Physcs 5 Lecure 0 Canoncal Transformaons (Chaper 9) Wha We Dd Las Tme Hamlon s Prncple n he Hamlonan formalsm Dervaon was smple δi δ Addonal end-pon consrans pq H( q, p, ) d 0 δ q ( ) δq ( ) δ
More informationFI 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 informationThe 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 information10. 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 informationMath 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 informationJ 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 informationVariants 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 informationImplementation of Quantized State Systems in MATLAB/Simulink
SNE T ECHNICAL N OTE Implemenaon of Quanzed Sae Sysems n MATLAB/Smulnk Parck Grabher, Mahas Rößler 2*, Bernhard Henzl 3 Ins. of Analyss and Scenfc Compung, Venna Unversy of Technology, Wedner Haupsraße
More informationEEL 6266 Power System Operation and Control. Chapter 5 Unit Commitment
EEL 6266 Power Sysem Operaon and Conrol Chaper 5 Un Commmen Dynamc programmng chef advanage over enumeraon schemes s he reducon n he dmensonaly of he problem n a src prory order scheme, here are only N
More informationELASTIC 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 informationNATIONAL 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 informationChapter 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 informationReal-time electron dynamics in solids under strong electromagnetic fields
ISSP-CMSI Inernaonal Workshop/Symposum on Maeral Smulaon n Peaflops era (MASP01) June 7 01 ISSP Unv. Tokyo Real-me elecron dynamcs n solds under srong elecromagnec felds Kazuhro Yabana Cener for Compuaonal
More informationFTCS 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 informationCubic 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 informationTranscription: 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 informationOn 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 informationFirst-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 informationComprehensive Integrated Simulation and Optimization of LPP for EUV Lithography Devices
Comprehense Inegraed Smulaon and Opmaon of LPP for EUV Lhograph Deces A. Hassanen V. Su V. Moroo T. Su B. Rce (Inel) Fourh Inernaonal EUVL Smposum San Dego CA Noember 7-9 2005 Argonne Naonal Laboraor Offce
More informationMCTDH Approach to Strong Field Dynamics
MCTDH ppoach o Song Feld Dynamcs Suen Sukasyan Thomas Babec and Msha Ivanov Unvesy o Oawa Canada Impeal College ondon UK KITP Sana Babaa. May 8 009 Movaon Song eld dynamcs Role o elecon coelaon Tunnel
More informationVolatility 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 informationCH.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 informationC. David Sherrill School of Chemistry and Biochemistry Georgia Institute of Technology. September 1996
Dervaon of he Confguraon Ineracon Sngles (CIS) Mehod for Varous Sngle Deermnan References and Exensons o Include Seleced Double Subsuons (XCIS) C. Davd Sherrll School of Chemsry and Bochemsry Georga Insue
More information. 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 informationChapters 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 informationTime-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, t 1. Transitions - this one was easy, but in general the hardest part is choosing the which variables are state and control variables
Opmal Conrol Why Use I - verss calcls of varaons, opmal conrol More generaly More convenen wh consrans (e.g., can p consrans on he dervaves More nsghs no problem (a leas more apparen han hrogh calcls of
More information. The geometric multiplicity is dim[ker( λi. A )], i.e. the number of linearly independent eigenvectors associated with this eigenvalue.
Mah E-b Lecure #0 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 are
More informationLecture 6: Learning for Control (Generalised Linear Regression)
Lecure 6: Learnng for Conrol (Generalsed Lnear Regresson) Conens: Lnear Mehods for Regresson Leas Squares, Gauss Markov heorem Recursve Leas Squares Lecure 6: RLSC - Prof. Sehu Vjayakumar Lnear Regresson
More informationMotion in Two Dimensions
Phys 1 Chaper 4 Moon n Two Dmensons adzyubenko@csub.edu hp://www.csub.edu/~adzyubenko 005, 014 A. Dzyubenko 004 Brooks/Cole 1 Dsplacemen as a Vecor The poson of an objec s descrbed by s poson ecor, r The
More information3. 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 informationIII. Effective Interaction Theory
III. Effecve Ineracon heory opcs o be covered nclude: Inuve deas Bref revew of operaor formalsm ason scaerng formalsm Kerman, McManus, haler scaerng formalsm Feshbach scaerng formalsm Brueckner nuclear
More informationSingle-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 informationOnline Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading
Onlne Supplemen for Dynamc Mul-Technology Producon-Invenory Problem wh Emssons Tradng by We Zhang Zhongsheng Hua Yu Xa and Baofeng Huo Proof of Lemma For any ( qr ) Θ s easy o verfy ha he lnear programmng
More informationHEAT 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 informationII. 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 informationTSS = 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( ) [ ] MAP Decision Rule
Announcemens Bayes Decson Theory wh Normal Dsrbuons HW0 due oday HW o be assgned soon Proec descrpon posed Bomercs CSE 90 Lecure 4 CSE90, Sprng 04 CSE90, Sprng 04 Key Probables 4 ω class label X feaure
More informationOutline. GW approximation. Electrons in solids. The Green Function. Total energy---well solved Single particle excitation---under developing
Peenaon fo Theoecal Condened Mae Phyc n TU Beln Geen-Funcon and GW appoxmaon Xnzheng L Theoy Depamen FHI May.8h 2005 Elecon n old Oulne Toal enegy---well olved Sngle pacle excaon---unde developng The Geen
More informationDiffusion 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 informationAn 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 informationFall 2009 Social Sciences 7418 University of Wisconsin-Madison. Problem Set 2 Answers (4) (6) di = D (10)
Publc Affars 974 Menze D. Chnn Fall 2009 Socal Scences 7418 Unversy of Wsconsn-Madson Problem Se 2 Answers Due n lecure on Thursday, November 12. " Box n" your answers o he algebrac quesons. 1. Consder
More informationNonequilibrium Green s function (NEGF) method in thermal transport and some applications
Nonequlbrum reen s funcon NEF mehod n hermal ranspor and some applcaons Jan-Sheng Wang Naonal Unversy of Sngapore Oulne of he al Inroducon Mehod of nonequlbrum reen s funcons Applcaons Thermal currens
More informationNormal Random Variable and its discriminant functions
Noral Rando Varable and s dscrnan funcons Oulne Noral Rando Varable Properes Dscrnan funcons Why Noral Rando Varables? Analycally racable Works well when observaon coes for a corruped snle prooype 3 The
More informationRobustness 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
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 informationTHE 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 informationJohn 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 information5th 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(Time-dependent) Mean-field approaches to nuclear response and reaction
Tme-dependen Mean-feld approaces o nuclear response and reacon Takas Nakasukasa RIKEN Nsna Cener Inerfaces beween srucure and reacons for rare soopes and nuclear asropyscs, INT, Seale, Aug. 8 - Sep.2,
More informationPHYS 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 informationGMM parameter estimation. Xiaoye Lu CMPS290c Final Project
GMM paraeer esaon Xaoye Lu M290c Fnal rojec GMM nroducon Gaussan ure Model obnaon of several gaussan coponens Noaon: For each Gaussan dsrbuon:, s he ean and covarance ar. A GMM h ures(coponens): p ( 2π
More informationGear System Time-varying Reliability Analysis Based on Elastomer Dynamics
A publcaon of CHEMICAL ENGINEERING TRANSACTIONS VOL. 33, 013 Gues Edors: Enrco Zo, Pero Barald Copyrgh 013, AIDIC Servz S.r.l., ISBN 978-88-95608-4-; ISSN 1974-9791 The Ialan Assocaon of Chemcal Engneerng
More informationP 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 informationM. 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 informationNonlinearity 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 informationChapter 2 Linear dynamic analysis of a structural system
Chaper Lnear dynamc analyss of a srucural sysem. Dynamc equlbrum he dynamc equlbrum analyss of a srucure s he mos general case ha can be suded as akes no accoun all he forces acng on. When he exernal loads
More informationMulti-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 informationSupporting Information: The integrated Global Temperature change Potential (igtp) and relationships between emission metrics
2 3 4 5 6 7 8 9 Supporng Informaon: Te negraed Global Temperaure cange Poenal (GTP) and relaonsps beween emsson mercs Glen P. Peers *, Borgar Aamaas, Tere Bernsen,2, Jan S. Fuglesved Cener for Inernaonal
More informationOutline. 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 informationCONSISTENT EARTHQUAKE ACCELERATION AND DISPLACEMENT RECORDS
APPENDX J CONSSTENT EARTHQUAKE ACCEERATON AND DSPACEMENT RECORDS Earhqake Acceleraons can be Measred. However, Srcres are Sbjeced o Earhqake Dsplacemens J. NTRODUCTON { XE "Acceleraon Records" }A he presen
More informationWiH 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 informationLecture 9: Advanced DFT concepts: The Exchange-correlation functional and time-dependent DFT
Lecure 9: Advanced DFT conceps: The Exchange-correlaion funcional and ime-dependen DFT Marie Curie Tuorial Series: Modeling Biomolecules December 6-11, 2004 Mark Tuckerman Dep. of Chemisry and Couran Insiue
More informationby Lauren DeDieu Advisor: George Chen
b Laren DeDe Advsor: George Chen Are one of he mos powerfl mehods o nmercall solve me dependen paral dfferenal eqaons PDE wh some knd of snglar shock waves & blow-p problems. Fed nmber of mesh pons Moves
More informationINTENSITIES OF 4f 4f TRANSITIONS IN GLASS MATERIALS
ITESITIES OF 4f 4f TRASITIOS I GLASS MATERIALS ópco IV O.L. MALTA Deparameno de Químca Fundamenal CCE UFPE. Cdade Unversára, Recfe-PE, 50670-901, Brazl. COTETS 1. Inroducon 1. Some characerscs of he rare
More information2/20/2013. 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 informationMEEN Handout 4a ELEMENTS OF ANALYTICAL MECHANICS
MEEN 67 - Handou 4a ELEMENTS OF ANALYTICAL MECHANICS Newon's laws (Euler's fundamenal prncples of moon) are formulaed for a sngle parcle and easly exended o sysems of parcles and rgd bodes. In descrbng
More informationLecture VI Regression
Lecure VI Regresson (Lnear Mehods for Regresson) Conens: Lnear Mehods for Regresson Leas Squares, Gauss Markov heorem Recursve Leas Squares Lecure VI: MLSC - Dr. Sehu Vjayakumar Lnear Regresson Model M
More informationNumerical 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 informationComb 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 informationPolymerization 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 informationCHAPTER 10: LINEAR DISCRIMINATION
CHAPER : LINEAR DISCRIMINAION Dscrmnan-based Classfcaon 3 In classfcaon h K classes (C,C,, C k ) We defned dscrmnan funcon g j (), j=,,,k hen gven an es eample, e chose (predced) s class label as C f g
More informationChapter 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 informationMONTE CARLO ALGORITHM FOR CLASPING SEARCH AND NEUTRON LEAKAGE
Sep. 5. Vol. 7. No. 3 Inernaonal Journal of 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 informationRelative 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 informationHomework 8: Rigid Body Dynamics Due Friday April 21, 2017
EN40: Dynacs and Vbraons Hoework 8: gd Body Dynacs Due Frday Aprl 1, 017 School of Engneerng Brown Unversy 1. The earh s roaon rae has been esaed o decrease so as o ncrease he lengh of a day a a rae of
More informationISSN MIT Publications
MIT Inernaonal Journal of Elecrcal and Insrumenaon Engneerng Vol. 1, No. 2, Aug 2011, pp 93-98 93 ISSN 2230-7656 MIT Publcaons A New Approach for Solvng Economc Load Dspach Problem Ansh Ahmad Dep. of Elecrcal
More informationScattering at an Interface: Oblique Incidence
Course Insrucor Dr. Raymond C. Rumpf Offce: A 337 Phone: (915) 747 6958 E Mal: rcrumpf@uep.edu EE 4347 Appled Elecromagnecs Topc 3g Scaerng a an Inerface: Oblque Incdence Scaerng These Oblque noes may
More informationGraduate Macroeconomics 2 Problem set 5. - Solutions
Graduae Macroeconomcs 2 Problem se. - Soluons Queson 1 To answer hs queson we need he frms frs order condons and he equaon ha deermnes he number of frms n equlbrum. The frms frs order condons are: F K
More informationIn 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 informationFRACTIONAL 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 informationLecture 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