Computational study of heat transport in compositionally disordered binary crystals
|
|
- Everett Stanley
- 5 years ago
- Views:
Transcription
1 Act Mterili 54 (6) Computtionl study of het trnsport in compositionlly disordered inry crystls John W. Lyver IV,, Estel Blisten-Brojs, * Computtionl Mterils Science Center, College of Science, George Mson University, Firfx, VA 3, USA Office of Sfety nd Mission Assurnce, Ntionl Aeronutics nd Spce Administrtion, Wshington, DC 46, USA Received Mrch 6; received in revised form 6 My 6; ccepted 7 My 6 Aville online 4 August 6 Astrct The therml conductivity of compositionlly disordered inry crystls with toms intercting through Lennrd-Jones potentils hs een studied s function of temperture. The two species in the crystl differ in mss, hrd-core tomic dimeter, well depth nd reltive concentrtion. The isoric Monte Crlo ws used to equilirte the smples t ner-zero pressure. The isoenergy moleculr dynmics comined with the Green Kuo pproch ws tken to clculte the het current time-dependent utocorreltion function nd determine the lttice therml conductivity of the smple. The inverse temperture dependence of the lttice therml conductivity ws shown to fil t low tempertures when the tomic dimeters of the two species differ. Insted, the therml conductivity ws nerly constnt cross tempertures for species with different tomic dimeters. Overll, it is shown tht there is drmtic decrese of the lttice therml conductivity with incresing tomic rdii rtio etween species nd moderte decrese due to mss disorder. Ó 6 Act Mterili Inc. Pulished y Elsevier Ltd. All rights reserved. Keywords: Binry solids; Compositionl disorder; Monte Crlo; Therml conductivity; Moleculr dynmics 1. Introduction It is known tht het is trnsported etter through solid mterils tht re pure nd crystlline. Any type of impurity, defect, doping or internl oundry within the mteril nominlly increses the resistnce to het trnsport, nd thus reduces the ility to conduct therml energy. With the growing interest in nnotechnology, the study of therml conduction properties of systems with reduced dimensions, thin films, nnotues nd superlttices hs incresed. In nnomterils nd nnostructures, phenomen re highly dependent on the length scle where virtions etween nerest-neighor toms occur. The use of moleculr dynmics (MD) nd the Green Kuo (GK) methods for clculting the therml conductivity hve shown promise s tomistic pproches for understnding nnosystems t the nnometer scle. For exmple, there * Corresponding uthor. Tel.: E-mil ddress: listen@gmu.edu (E. Blisten-Brojs). re severl recent clcultions on pure nole gses with Lennrd-Jones interctions nd fce-centered cuic (fcc) structures in which MD ws the method of choice [1 5]. For inry crystls the literture is not so undnt; worth noting is the MD clcultion for crystlline -SiC with point defects [6]. In crystl the therml conductivity is composed of two dditive contriutions: lttice nd electronic. The lttice contriution j ph cptures phenomen ssocited with lttice virtions nd phonon scttering nd is dominted y the structurl chrcteristics of the crystl. The electronic contriution j e is proportionl to the electric conductivity r e through the Wiedemnn Frnz lw [7,8]. The composition of crystl ffects the lttice symmetry chrcteristics nd consequently the lttice virtions. Therefore, j ph, the lttice contriution to the therml conductivity in crystl, should reflect chnges ccording to its composition. In contrst, since j e is function of r e, the conduction properties re expected to remin lmost constnt for fmilies of solids with similr compositionl components. A phenomenon /$3. Ó 6 Act Mterili Inc. Pulished y Elsevier Ltd. All rights reserved. doi:1.116/j.ctmt.6.5.5
2 4634 J.W. Lyver IV, E. Blisten-Brojs / Act Mterili 54 (6) tht reduces j ph produces n overll reduction of the therml conductivity if the electric conductivity is not ffected. In dielectrics, nd the nole gses specificlly, chnges in j ph do not simultneously ffect the electronic conductivity. This work focuses on simulting the lttice therml conductivity due to tomic virtions for inry crystls with compositionl disorder. The gol of this work is to identify rnges of comintions of mterils nd disorder conditions which reduce the lttice therml conductivity of the simulted inry solid mixtures nd my wrrnt further experimentl work. Throughout the reminder of this pper, j is used to identify the lttice contriution to the overll therml conductivity. The effect of compositionl disorder on therml conductivity ws investigted using severl simple models of inry Lennrd-Jones (L-J) solids. Compositionl disorder ws investigted due to differences in the vn der Wl rdii (r), intertomic ond strength (e) nd mss (m) of the two types of toms. Severl reltive concentrtions of simulted crystlline inry mixtures were studied s function of selected potentil prmeters nd nlyzed cross vrious tempertures. The computtionl pproch tken ws to perform tomic-level computer simultions employing comintion of isoenergy MD nd NPT Monte Crlo (MC) with constnt numer of toms (N), pressure (P) nd temperture (T) to clculte the j within liner response theory of mny-ody systems. To vlidte the work, results were compred to other reported results nd experimentl dt ville for montomic crystls. This pper is orgnized s follows. Section descries the methodology used to prepre the inry smple, determine its equilirium density nd llow the smple to rech mechnicl equilirium. Section 3 descries the lttice therml conductivity results otined s function of the prmeters used, the lttice disorder models nd the vrious concentrtions of the two tomic species. Section 4 concludes the work with summry.. Methodology A crystlline inry mixture of 5 toms ws simulted in cuic computtionl ox with periodic oundry conditions in ech direction. In the clcultions, r c is the cutoff rdius tken s 49% of the width of the computtionl ox. The composition of the inry crystl uses toms of type A s the host nd toms of type B s the guest. All prmeters were compred reltive to the host A toms. The L-J potentil with prmeters r nd e ws used s prototype interction etween toms. The compositionl disorder introduced in the host lttice due to the guest toms is modeled prmetericlly y chnges of r, e nd mss. Quntities re expressed in reduced units with respect to the host toms L-J prmeters r A, e A nd m A. For exmple, the mss of Ar is u. nd tht of Xe is u. In reduced units, using Ar s the host tom, the mss of Ar would e 1., wheres the mss of Xe would e 3.3. Reduced units of length, energy, temperture, p time nd therml conductivity re r, e, e/k B, t o ¼ ffiffiffiffiffiffiffiffiffiffiffiffi r m=e nd k B /t o s, respectively, where k B is Boltzmnn s constnt. Four compositionl mixture cses in the computtionl ox were considered with the following chrcteristics: 1% of pure A toms, 75% of A toms nd % B toms, 5% of ech type, nd % of A toms nd 75% of B toms. The L-J prmeters for the inry interctions (A B) re otined from the comintion rules: r AB ¼ r A þ r B p ; e AB ¼ ffiffiffiffiffiffiffiffiffi e A e B : ð1þ Simultions strted t reduced temperture of.5 from configurtion with toms plced in perfect fcc lttice. Next, n initil configurtion ws constructed such tht toms were rndomly ssigned s type A or B consistent with the reltive concentrtion of the two types of toms. Throughout this study, to indicte the rtio of prmeters, the symols R r, R e, re used for r B /r A, e B /e A nd m B /m A, respectively. The system ws equilirted y NPT-MC, which llowed for moves of the N toms in rndom directions nd chnges of the entire computtionl ox volume (V). The cceptnce criterion etween old (V o ) nd new (V n ) configurtions is given y [9] ccðo! nþ ¼minð1; expf ½Uðr N ; V n Þ Uðr N ; V o Þ þ PðV n V o Þ ðn þ 1Þ 1 lnðv n =V o ÞŠgÞ: ðþ Here, is 1/T, r N is the vector of the coordintes of ll toms nd the potentil energy is Uðr N ; V Þ¼ 1 X N i X N i6¼j 4e ij ½ðr ij =r ij Þ 1 ðr ij =r ij Þ 6 Š; where r ij is the core rdius, e ij is the ond strength nd r ij is the intertomic distnce of n tomic pir using Eq. (1). The NPT-MC simultions were run etween 1 nd 3 million steps with step eing N single tom movements nd one volume djustment. The verge density nd other clculted quntities were determined s n verge over the finl one-fourth of the NPT-MC trjectory. Therefore, the position of the toms within the ox is consistent with this verge density. The density is defined s N/V irrespective of the two types of toms, which could hve different msses, r, or e vlues. Becuse the computtionl ox is finite, the vlue of the pressure ws djusted y sutrcting the pressure tht would e exerted y structureless infinite-sized smple outside of the computtionl ox [9]. For the montomic system, the equilirium structure ws n fcc structure for ll tempertures. At low tempertures, no stle morphous phse ws found s otined in Ref. [3]. Becuse the NPT-MC clcultion does not include the mss in the simultion, the equilirium q for inry smples with A nd B toms hving only different e is the sme s the density of the montomic system. Therefore, the NPT-MC clcultions were crried out to determine q t different tempertures when R r 6¼ 1. Fig. 1 ð3þ
3 J.W. Lyver IV, E. Blisten-Brojs / Act Mterili 54 (6) shows the temperture ehvior of the verge q for equilirted systems t zero pressure for smples with 5:5 reltive concentrtion. The curves correspond to different R r. The vlue of q of pure Ar reported in Ref. [3] compres well with our results. As expected, when R r increses, the volume must lso increse, decresing q. The stndrd devition (SD) of the verge density is very low, of the order of the symol size used in Fig. 1. These smll fluctutions certinly ensure tht the smooth decrese of q with temperture illustrted in Fig. 1 is indeed relistic. The next step ws to initite the isoenergy MD study using the output of the NPT-MC runs. Ech MD tril ws run 35, time steps of Dt =.5 to llow the system first to equilirte t the desired temperture. Next the MD tril continued to run for hlf million time steps to clculte the desired het current opertor vlues from [1] ~J ¼ XN i¼1 E i v * i þ 1= XN i¼1 X N j6¼i ðv * i F * ijþr * ij; where E i is the totl energy of ech tom, ~v i is the velocity of ech tom nd ~F ij nd ~r ij re the force nd intertomic vectors for ech tomic pir. The next step ws to clculte the utocorreltion function C(s) of the het current opertor, which is defined s CðsÞ ¼h~Jðs þ tþ~jðtþi ð5þ where Ææis the time verge, ~J is the het current opertor nd s is the time lg from n origin t chosen from the time trjectory. Ech utocorreltion run typiclly used etween 16 nd 18 time lgs. It ws found tht for R r, R e, nd ner vlue of one required longer times to compute the utocorreltion function thn when disorder sets in. The lttice therml conductivity j ws otined y integrting C(s) over the rnge [,t trj ], where t trj is the totl ð4þ time for which the utocorreltion function ws clculted. This is the GK pproch [11,1]: j ¼ 1 Z 1 CðsÞ ds: ð6þ 3Vk B T The GK pproch works well for oth morphous nd crystlline models s long s the system is homogeneous. GK tkes full ccount of nhrmonic properties ut is clssicl in nture. Ldd et l. [13] were the first to use the GK formlism to clculte therml conductivity for solids with interctions following n inverse-twelfth power lw potentil. Lter, Gilln extended this method for the study of j in plldium doped with hydrogen [14]. More recently, Chen et l. used this sme pproch to study the therml conductivity of pure Ar doped with Xe [15]. Optimlly, it would e est to clculte C(s) out to infinity insted of just the finite trjectory length, ut this is not possile numericlly. We oserved tht C(s) could e pproximted y n exponentilly decying cosine function e ft cos(xt) s shown in Fig. nd fit the prmeters to the numericl MD results. Then the integrtion in Eq. (6) ws done from the ctul simultion dt for 6 s 6 t fit nd used the decying cosine function for t fit 6 s 6 1. The vlue of t fit ws set to e 1. times the period of the fitted cosine function. This time t fit defines the system relxtion time. The NPT-MC smples prepred in the mnner descried in previous prgrphs represent different types of compositionl disorder. For ll vlues of R e or simulted, the structure of the equilirted smple is the fcc lttice. Thus the system disorder is sed on rndom mixture of toms A nd B, which re positioned on perfect lttice. In contrst, when size disorder ws introduced with R r eyond 1.1, the fcc lttice collpses. This is shown in Fig. 3 which depicts the pir correltion function g(r) in which the g AA (r), g AB (r) nd g BB (r) vlues hve een 1.1 = Density.9.8 = 1.1 C( ) Temperture Fig. 1. Density s function of temperture for rdii rtios R r of 1., 1.1 nd 1. for the 5:5 mixture of toms. Crosses re q for pure Ar t zero pressure nd circles represent results from Ref. [3] Time Lg Fig.. MD-clculted C(s) s function of time. The dotted lines show the envelope of the exponentilly decying cosine function otined from the fit of the MD dt.
4 4636 J.W. Lyver IV, E. Blisten-Brojs / Act Mterili 54 (6) g(r) g(r) r r /ρ 1/3 Fig. 3. Rdil distriution function g(r): () for different R r vlues: 1. (solid), 1.1 (dshed) nd 1. (dotted); () sme s in () plotted s function of scled distnces. summed together. Fig. 3 shows the cse of 5:5 mixture smple t T =.167 with R e =1, = 1 nd three different R r vlues (1., 1.1 nd 1.). To compre directly etween these functions, scling of q 1/3 ws pplied to the rdil dependence. It is very cler tht for R r, the compositionl disorder of the 5:5 smple ffects the structure very significntly nd the crystl collpses into homogeneous morphous solid. The structure of this solid morphous mixture is very different from the structure found in tomic clusters [16], where the toms with smller r segregted nd formed sucluster surrounded y the lrge r toms. 3. Determintion of the lttice therml conductivity A smple with N = 5 t P = with only one type of tom ws prepred, nd j ws otined for severl tempertures using the steps descried in Section. These results llowed vlidtion of our method y comprison with severl clcultions done recently [3,15,17,18] s well s with experimentl results [19]. Fig. 4 shows this comprison, indicting tht our results (lck strs) re in full greement with previous clcultions nd with the experimentl results. In the GK pproch, Eq. (6), there is n explicit dependence of j on the volume of the smple. Smple size effects were studied in Ref. [17] where the uthors considered computtionl ox sizes contining etween 18 nd 4 toms. Those uthors concluded tht in the temperture domin of 7 K, the size effects re irrelevnt for ll prcticl purposes when clculting j for pure Ar system. This is consistent with our findings for computtionl cells contining toms. It ws found tht computtionl oxes smller thn 18 toms were too smll for meningful results. Fig. 5() nd () illustrtes the dependence of the equilirium density nd potentil energy verges s function of the numer of fcc cells (n) on ech Therml Conductivity (W/mK) Experiment [18] Ref [14] Ref [16] Ref [17] This Work Temperture (K) Fig. 4. Therml conductivity j s function of temperture for pure Ar t zero pressure. The results of this work (lck strs) re compred to those of other works: Ref. [3] (dimonds), Ref. [15] (circles), Ref. [17] (tringles), Ref. [18] (crosses), Ref. [19] (squres). ρ Energy/N c Numer of FCC Unit Cells Fig. 5. Effect of computtionl ox sizes. The horizontl xis shows the numer of fcc unit cells long ech side of the cuic computtionl ox. () Density, () j nd (c) energy per tom for the ordered montomic crystl. computtionl ox edge (N =4n 3 ). Fig. 5(c) shows j nd its SD s function of computtionl ox size. Bsed on the continued good greement with oth the previously discussed comprisons offset ginst run times, system size of N = 5 t P = ws selected for ll results reported in this work. The following compositionl mixtures were considered: R r of 1., 1.1, 1., 1.5 nd.; R e of 1., 1. nd 1.5; nd of 1., 1.6,.1 nd 3.3. Additionlly, we studied different reltive concentrtions of A nd B toms rnging from 1% A toms, 75% A with % B, 5% A with 5% B, nd % A with 75% B. For smples with reltive concentrtions of 5:5, t temperture of T =.167, Fig. 6 illustrtes the lttice j
5 J.W. Lyver IV, E. Blisten-Brojs / Act Mterili 54 (6) = 1. = 1.5 = 1. = 1.6 =.1 = c = 1. = 1.1 = Temperture Fig. 6. Therml conductivity s function of the prmeter rtios: () dependence on R r for R e = 1, 1., 1.5, nd = 1; () dependence on R r for = 1, 1.6,.1, 3.3, nd R e = 1; (c) dependence on R e for R r =1, 1.1, 1., nd =1. Fig. 7. Therml conductivity s function of temperture: () structurlly ordered cse R r = 1, nd = 1 with R e = 1 (squres), R e (circles), R e = 1.5 (tringles); () structurlly disordered cses R r = 1.1 (solid lines) nd R r (dshed lines). The top, middle nd ottom curves re for R e = 1., 1. nd 1.5, respectively. s function of one prmeter rtio (R r, R e or ) while the other two prmeter rtios re kept constnt. Fig. 6() nd () shows drmtic decrese of j with incresing R r. In fct, Fig. 6() shows tht j decreses y fctor of over 6 etween R r = 1 nd R r = 1.1 for constnt mss rtio nd vrious vlues of R e. Likewise, Fig. 6() shows drmtic decrese in j etween R r =1 nd R r = 1.1 using different mss rtios. In this cse gin, j decreses y fctors up to 6 depending upon. While Fig. 6() shows sustntil decrese in j etween R r = 1 nd R r = 1.1, the two tom types would hve to e the sme to hve R r = 1 nd = 1, which is very unrelistic cse. On the contrry, Fig. 6(c) shows tht, for R e = 1 nd =1, j increses slightly s function of R r nd incresing R e. This increse lies within the SDs of the j results nd might not e rel effect. The conclusion of the prmeter nlysis is tht t T =.167, oth rdii disorder nd mss disorder impose strong depletion of j. Even slight difference in tomic rdii of only 1% hs mjor effect on decresing j while the mss rtio hs more grdul depleting effect on j. The mss disorder leves the crystlline symmetry intct. In comprison, the rdii disorder llows the solid to cquire incipient morphous chrcteristics s evidenced y the pir correltion function signture illustrted in Fig. 3. In fct for the lrge difference in tomic rdii of %, Fig. 3 indictes tht the fcc symmetry is lredy lost nd the solid is no longer crystl. For montomic crystlline mterils, the expected theoreticl dependence of the therml conductivity with temperture follows n inverse temperture lw [7,8]. While previous MD simultions [15] reported j exhiiting this expected ehvior, our results show deprture for ny of the proposed smples with disorder. Fig. 7 shows the j ehvior for vrious vlues of R e of 1., 1. nd 1.5 nd = 1 for 5:5 concentrtion. In Fig. 7 the inverse temperture dependence is plotted with dotted line to guide the eye. Fig. 7() depicts the temperture dependence for R r = 1 with the squre, circle nd tringle symols identifying the three vlues of R e (1., 1. nd 1.5), respectively. SDs re shown for the R e cse nd re representtive of the other cses. Fig. 7() gives results for systems with R r = 1.1 s solid lines corresponding to R e = 1., 1., nd 1.5 (top, middle nd ottom) nd dshed lines for R r. SDs re out 1 units of j for ll results. It is pprent from these plots tht the ordered crystl with no core rdius disorder follows the 1/T reltionship very closely (Fig. 7()) while ny of the compositionlly disordered systems (Fig. 7()) present nerly constnt j s function of temperture. This degrding of the therml conduction is similr to tht predicted for covlent inry crystls with defects [6] where j ws found to e essentilly temperture independent. In our study it should e rememered tht compositionl disorder in which the tomic rdii differ y only 1% produces drmtic reduction of j to minimum vlue, which keeps firly constnt for the tempertures investigted. In summry, we emphsize tht the rdii disorder hs n extremely strong effect to reduce j, ringing its vlue to e minimum for ll clcultions with widely vrying mteril prmeters. The lst prt of this study pertins to chnges in the reltive concentrtions of the A nd B toms. Reltive concentrtions of A:B toms of :75 nd 75: were nlyzed in ddition to the 1% type A nd the 5:5 mixture cses discussed ove. As the concentrtion chnges, the numer of smller toms increses reltive to the lrger toms hving significnt effect on q s shown in Fig. 8. In nlyzing mixtures with the :75, 5:5 nd 75: reltive concentrtions over the rnge of T, R r, R e nd
6 4638 J.W. Lyver IV, E. Blisten-Brojs / Act Mterili 54 (6) Density Relxtion Time = 1. = 1.5 = 1. = Temperture Fig. 8. Density s function of temperture for different reltive concentrtions in the mixture. Filled symols re for R r = 1.1 nd open symols re for R r. The circle, tringle nd squre re for R e = 1., 1. nd 1.5, respectively. The cse of R r = R e = = 1 is shown s crosses. Fig. 9. Relxtion time s function of prmeter rtios for the 5:5 smple: () dependence on R r with = 1 nd R e = 1 (squres), 1. (circles),.5 (tringles); () dependence on with R r = 1 nd three R e vlues s in ()., the ehvior of j ws very similr to tht of the 5:5 cse. Tle 1 summrizes ll results of j for the vrious disorder cses t five tempertures. Once gin, for these reltive concentrtions studied, the mximum decrese in j is through R r. Additionlly, s is shown in Fig. 6(c) for the 5:5 reltive concentrtions, the effect of incresing R e while R r nd remin constnt, produced n pprent slight increse in j. This effect is lso present for the other reltive concentrtions s reported in Tle 1. To compute the lttice therml conductivity from Eq. (6), the utocorreltion function C(s) ws pproximted y n exponentilly decying cosine function. In Fig. 9, the verticl xis on oth plots depicts the system relxtion time nd is plotted s function of R r in Fig. 9() nd in Fig. 9(). The relxtion time ppers to e directly relted to the mount of core rdii nd mss disorder present in the smple. The chnge in relxtion time due to the e disorder is smll s evidenced y the three curves in Fig. 9() nd (). Tle 1 Lttice therml conductivity for solid mixtures with vrious reltive concentrtions nd t T =.4,.83,.167,.333 nd.5 (top to ottom in ech tle entry) Reltive concentrtion R r =1, =1,R e =1 R r R e % A % A, % B % A, 5% B % A, 75% B For ny prmeter rtio 6¼ 1, the other two prmeter rtios = 1. Vlues re in reduced units.
7 J.W. Lyver IV, E. Blisten-Brojs / Act Mterili 54 (6) Summry nd conclusions Throughout this work, it hs een shown tht studying the effects of rdii, mss, intertomic interction disorder nd temperture cn e demonstrted in computer-simulted environment. Our work ws performed on PC with single Pentium 4 processor (3. GHz) nd ech NPT-MC nd MD run consumed out 9 nd 4 h of processing time, respectively, per dt point, mking the work resonle to ccomplish. The results of this work show tht compositionl disorder t the nnoscle in crystlline inry mixtures decrese the lttice therml conductivity in drmtic fshion. Findings in this work re importnt for tiloring the synthesis of new mterils with poor het conduction chrcteristics. The reltive properties of L-J solid mixtures re summrized elow in order of importnce for degrding the lttice therml conductivity: (1) vn der Wl rdii. Atoms should hve different rdii. Even 1% difference rings the lttice therml conductivity to minimum constnt vlue nd suppresses the inverse temperture depletion. The reson for the drmtic degrdtion of the het conduction is the dditionl phonon scttering imposed t the nnoscle y toms tht re t the threshold of collpsing the crystl structure of the solid. () Mss. Atoms should hve different msses. Differences of 6% in mss decrese the therml conductivity y out hlf t ny temperture elow the melting point. (3) Intertomic interction strength. Atoms should hve lmost equl vlues. With 5% difference in strength, therml conductivity cn e incresed y out %, which is not desired outcome. (4) Temperture. Temperture is key fctor for ny ppliction serching to deplete het conduction due to tomic virtions. This work ws done for reduced tempertures of up to.5, which re elow the meting points of the L-J compositionlly disordered crystls studied. In this temperture rnge, when rdii disorder exists, the lttice therml conductivity is essentilly temperture independent nd mrkedly degrded due to the enhnced phonon scttering induced y toms with different rdii plced rndomly on n fcc crystl. (5) Composition reltive concentrtion. Reltive concentrtion of the two components in the crystl ppers to hve only minor effect on the therml conductivity. References [1] Lukes JR, Dy L, Ling X-G, Tien C-L. Trns ASME ;1: [] Feng X-L, Li Z-X, Guo Z-Y. Chin Phys Lett ;18: [3] McGughey AJH, Kviny M. Int J Het Mss Trnsf 4;47: [4] Chen Y, Li D, Yng J, Wu Y, Lukes JR. Physic B 4;349:7. [5] Heino P. Phys Rev B ;71:1443. [6] Li J, Porter L, Yip S. J Nucl Mter 1998;5: [7] Bermn R. Therml conduction in solids. Oxford: Clrendon Press; [8] Jonson M, Mhn GD. Phys Rev B 198;1:43 9. [9] Frenkel D, Smit B. Understnding moleculr simultion. New York (NY): Acdemic Press; [1] Blescu R. Equilirium nd non-equilirium sttisticl mechnics. New York (NY): Wiley; 1979 [Chpter 1]. [11] Green MS. J Chem Phys 195;:181 95; Green MS. J Chem Phys 1954;:398. [1] Kuo R. J Phys Soc Jpn 1957;1: [13] Ldd AJC, Morn B, Hoover WG. Phys Rev B 1986;34: [14] Gilln MJ. J Phys C Condens Mtter 1987;: [15] Chen Y, Lukes JR, Yng J, Wu Y. J Chem Phys 4;1: [16] Grzon IL, Long XP, Kwi R, Were JH. Chem Phys Lett 1989;158:5 3. [17] Tretikov KV, Scndolo S. J Chem Phys 4;1: [18] Kurki H, Li J, Yip S. Mtter Res Soc Symp Proc 1998;538:53 8. [19] Christen DK, Pollck GL. Phys Rev B 1975;1:
Energy (kcal mol -1 ) Force (kcal mol -1 Å -1 ) Pore axis (Å) Mixed Mo-only S-only Graphene
Force (kcl mol -1 Å -1 ) Energy (kcl mol -1 ) 3 1-1 - -3 Mixed Mo-only S-only Grphene 6 5 3 1 Mixed Mo-only S-only Grphene - -1-1 1 Pore xis (Å) -1 1 Pore xis (Å) Supplementry Figure 1 Energy Brriers.
More informationDETERMINATION OF MECHANICAL PROPERTIES OF NANOSTRUCTURES WITH COMPLEX CRYSTAL LATTICE USING MOMENT INTERACTION AT MICROSCALE
Determintion RevAdvMterSci of mechnicl 0(009) -7 properties of nnostructures with complex crystl lttice using DETERMINATION OF MECHANICAL PROPERTIES OF NANOSTRUCTURES WITH COMPLEX CRYSTAL LATTICE USING
More informationTHE INTERVAL LATTICE BOLTZMANN METHOD FOR TRANSIENT HEAT TRANSFER IN A SILICON THIN FILM
ROMAI J., v.9, no.2(2013), 173 179 THE INTERVAL LATTICE BOLTZMANN METHOD FOR TRANSIENT HEAT TRANSFER IN A SILICON THIN FILM Alicj Piseck-Belkhyt, Ann Korczk Institute of Computtionl Mechnics nd Engineering,
More informationGenetic Programming. Outline. Evolutionary Strategies. Evolutionary strategies Genetic programming Summary
Outline Genetic Progrmming Evolutionry strtegies Genetic progrmming Summry Bsed on the mteril provided y Professor Michel Negnevitsky Evolutionry Strtegies An pproch simulting nturl evolution ws proposed
More informationCHAPTER 20: Second Law of Thermodynamics
CHAER 0: Second Lw of hermodynmics Responses to Questions 3. kg of liquid iron will hve greter entropy, since it is less ordered thn solid iron nd its molecules hve more therml motion. In ddition, het
More informationI1 = I2 I1 = I2 + I3 I1 + I2 = I3 + I4 I 3
2 The Prllel Circuit Electric Circuits: Figure 2- elow show ttery nd multiple resistors rrnged in prllel. Ech resistor receives portion of the current from the ttery sed on its resistnce. The split is
More informationa * a (2,1) 1,1 0,1 1,1 2,1 hkl 1,0 1,0 2,0 O 2,1 0,1 1,1 0,2 1,2 2,2
18 34.3 The Reciprocl Lttice The inverse of the intersections of plne with the unit cell xes is used to find the Miller indices of the plne. The inverse of the d-spcing etween plnes ppers in expressions
More informationFully Kinetic Simulations of Ion Beam Neutralization
Fully Kinetic Simultions of Ion Bem Neutrliztion Joseph Wng University of Southern Cliforni Hideyuki Usui Kyoto University E-mil: josephjw@usc.edu; usui@rish.kyoto-u.c.jp 1. Introduction Ion em emission/neutrliztion
More informationPhysics 201 Lab 3: Measurement of Earth s local gravitational field I Data Acquisition and Preliminary Analysis Dr. Timothy C. Black Summer I, 2018
Physics 201 Lb 3: Mesurement of Erth s locl grvittionl field I Dt Acquisition nd Preliminry Anlysis Dr. Timothy C. Blck Summer I, 2018 Theoreticl Discussion Grvity is one of the four known fundmentl forces.
More informationMath 8 Winter 2015 Applications of Integration
Mth 8 Winter 205 Applictions of Integrtion Here re few importnt pplictions of integrtion. The pplictions you my see on n exm in this course include only the Net Chnge Theorem (which is relly just the Fundmentl
More informationVibrational Relaxation of HF (v=3) + CO
Journl of the Koren Chemicl Society 26, Vol. 6, No. 6 Printed in the Republic of Kore http://dx.doi.org/.52/jkcs.26.6.6.462 Notes Vibrtionl Relxtion of HF (v3) + CO Chng Soon Lee Deprtment of Chemistry,
More information1B40 Practical Skills
B40 Prcticl Skills Comining uncertinties from severl quntities error propgtion We usully encounter situtions where the result of n experiment is given in terms of two (or more) quntities. We then need
More informationp-adic Egyptian Fractions
p-adic Egyptin Frctions Contents 1 Introduction 1 2 Trditionl Egyptin Frctions nd Greedy Algorithm 2 3 Set-up 3 4 p-greedy Algorithm 5 5 p-egyptin Trditionl 10 6 Conclusion 1 Introduction An Egyptin frction
More informationADVANCEMENT OF THE CLOSELY COUPLED PROBES POTENTIAL DROP TECHNIQUE FOR NDE OF SURFACE CRACKS
ADVANCEMENT OF THE CLOSELY COUPLED PROBES POTENTIAL DROP TECHNIQUE FOR NDE OF SURFACE CRACKS F. Tkeo 1 nd M. Sk 1 Hchinohe Ntionl College of Technology, Hchinohe, Jpn; Tohoku University, Sendi, Jpn Abstrct:
More informationLECTURE 14. Dr. Teresa D. Golden University of North Texas Department of Chemistry
LECTURE 14 Dr. Teres D. Golden University of North Texs Deprtment of Chemistry Quntittive Methods A. Quntittive Phse Anlysis Qulittive D phses by comprison with stndrd ptterns. Estimte of proportions of
More informationChapter 9 Definite Integrals
Chpter 9 Definite Integrls In the previous chpter we found how to tke n ntiderivtive nd investigted the indefinite integrl. In this chpter the connection etween ntiderivtives nd definite integrls is estlished
More informationHomework Assignment 3 Solution Set
Homework Assignment 3 Solution Set PHYCS 44 6 Ferury, 4 Prolem 1 (Griffiths.5(c The potentil due to ny continuous chrge distriution is the sum of the contriutions from ech infinitesiml chrge in the distriution.
More informationSummary of equations chapters 7. To make current flow you have to push on the charges. For most materials:
Summry of equtions chpters 7. To mke current flow you hve to push on the chrges. For most mterils: J E E [] The resistivity is prmeter tht vries more thn 4 orders of mgnitude between silver (.6E-8 Ohm.m)
More informationChapter E - Problems
Chpter E - Prolems Blinn College - Physics 2426 - Terry Honn Prolem E.1 A wire with dimeter d feeds current to cpcitor. The chrge on the cpcitor vries with time s QHtL = Q 0 sin w t. Wht re the current
More informationFig. 1. Open-Loop and Closed-Loop Systems with Plant Variations
ME 3600 Control ystems Chrcteristics of Open-Loop nd Closed-Loop ystems Importnt Control ystem Chrcteristics o ensitivity of system response to prmetric vritions cn be reduced o rnsient nd stedy-stte responses
More informationOn the Uncertainty of Sensors Based on Magnetic Effects. E. Hristoforou, E. Kayafas, A. Ktena, DM Kepaptsoglou
On the Uncertinty of Sensors Bsed on Mgnetic Effects E. ristoforou, E. Kyfs, A. Kten, DM Kepptsoglou Ntionl Technicl University of Athens, Zogrfou Cmpus, Athens 1578, Greece Tel: +3177178, Fx: +3177119,
More information4 VECTORS. 4.0 Introduction. Objectives. Activity 1
4 VECTRS Chpter 4 Vectors jectives fter studying this chpter you should understnd the difference etween vectors nd sclrs; e le to find the mgnitude nd direction of vector; e le to dd vectors, nd multiply
More information7.1 Integral as Net Change and 7.2 Areas in the Plane Calculus
7.1 Integrl s Net Chnge nd 7. Ares in the Plne Clculus 7.1 INTEGRAL AS NET CHANGE Notecrds from 7.1: Displcement vs Totl Distnce, Integrl s Net Chnge We hve lredy seen how the position of n oject cn e
More information13: Diffusion in 2 Energy Groups
3: Diffusion in Energy Groups B. Rouben McMster University Course EP 4D3/6D3 Nucler Rector Anlysis (Rector Physics) 5 Sept.-Dec. 5 September Contents We study the diffusion eqution in two energy groups
More informationCrystalline Structures The Basics
Crystlline Structures The sics Crystl structure of mteril is wy in which toms, ions, molecules re sptilly rrnged in 3-D spce. Crystl structure = lttice (unit cell geometry) + bsis (tom, ion, or molecule
More informationANALYSIS OF FAST REACTORS SYSTEMS
ANALYSIS OF FAST REACTORS SYSTEMS M. Rghe 4/7/006 INTRODUCTION Fst rectors differ from therml rectors in severl spects nd require specil tretment. The prsitic cpture cross sections in the fuel, coolnt
More informationDiscrete Mathematics and Probability Theory Summer 2014 James Cook Note 17
CS 70 Discrete Mthemtics nd Proility Theory Summer 2014 Jmes Cook Note 17 I.I.D. Rndom Vriles Estimting the is of coin Question: We wnt to estimte the proportion p of Democrts in the US popultion, y tking
More information2.4 Linear Inequalities and Interval Notation
.4 Liner Inequlities nd Intervl Nottion We wnt to solve equtions tht hve n inequlity symol insted of n equl sign. There re four inequlity symols tht we will look t: Less thn , Less thn or
More informationThe Properties of Stars
10/11/010 The Properties of Strs sses Using Newton s Lw of Grvity to Determine the ss of Celestil ody ny two prticles in the universe ttrct ech other with force tht is directly proportionl to the product
More informationPhysics 1402: Lecture 7 Today s Agenda
1 Physics 1402: Lecture 7 Tody s gend nnouncements: Lectures posted on: www.phys.uconn.edu/~rcote/ HW ssignments, solutions etc. Homework #2: On Msterphysics tody: due Fridy Go to msteringphysics.com Ls:
More informationEffects of peripheral drilling moment on delamination using special drill bits
journl of mterils processing technology 01 (008 471 476 journl homepge: www.elsevier.com/locte/jmtprotec Effects of peripherl illing moment on delmintion using specil ill bits C.C. Tso,, H. Hocheng b Deprtment
More informationDesigning Information Devices and Systems I Spring 2018 Homework 7
EECS 16A Designing Informtion Devices nd Systems I Spring 2018 omework 7 This homework is due Mrch 12, 2018, t 23:59. Self-grdes re due Mrch 15, 2018, t 23:59. Sumission Formt Your homework sumission should
More informationDiverse modes of eco-evolutionary dynamics in communities of antibiotic-producing microorganisms
In the formt provided y the uthors nd unedited. ULEMENTAY INFOMATION VOLUME: 1 ATICLE NUMBE: 0189 iverse modes of eco-evolutionry dynmics in communities of ntiiotic-producing microorgnisms Klin Vetsigin
More informationHomework Assignment 6 Solution Set
Homework Assignment 6 Solution Set PHYCS 440 Mrch, 004 Prolem (Griffiths 4.6 One wy to find the energy is to find the E nd D fields everywhere nd then integrte the energy density for those fields. We know
More informationSection 4: Integration ECO4112F 2011
Reding: Ching Chpter Section : Integrtion ECOF Note: These notes do not fully cover the mteril in Ching, ut re ment to supplement your reding in Ching. Thus fr the optimistion you hve covered hs een sttic
More informationMethod of Localisation and Controlled Ejection of Swarms of Likely Charged Particles
Method of Loclistion nd Controlled Ejection of Swrms of Likely Chrged Prticles I. N. Tukev July 3, 17 Astrct This work considers Coulom forces cting on chrged point prticle locted etween the two coxil,
More informationMaxwell-Stefan Diffusivities and Velocity Cross-Correlations in Dilute Ternary Systems
The Open-Access Journl for the Bsic Principles of Diffusion Theory, Experiment nd Appliction Mxwell-Stefn Diffusivities nd Velocity Cross-Correltions in Dilute Ternry Systems Xin Liu, 1, 2 André Brdow,
More informationDerivations for maximum likelihood estimation of particle size distribution using in situ video imaging
2 TWMCC Texs-Wisconsin Modeling nd Control Consortium 1 Technicl report numer 27-1 Derivtions for mximum likelihood estimtion of prticle size distriution using in situ video imging Pul A. Lrsen nd Jmes
More informationSession 13
780.20 Session 3 (lst revised: Februry 25, 202) 3 3. 780.20 Session 3. Follow-ups to Session 2 Histogrms of Uniform Rndom Number Distributions. Here is typicl figure you might get when histogrmming uniform
More informationReview of Gaussian Quadrature method
Review of Gussin Qudrture method Nsser M. Asi Spring 006 compiled on Sundy Decemer 1, 017 t 09:1 PM 1 The prolem To find numericl vlue for the integrl of rel vlued function of rel vrile over specific rnge
More informationDiscrete Mathematics and Probability Theory Spring 2013 Anant Sahai Lecture 17
EECS 70 Discrete Mthemtics nd Proility Theory Spring 2013 Annt Shi Lecture 17 I.I.D. Rndom Vriles Estimting the is of coin Question: We wnt to estimte the proportion p of Democrts in the US popultion,
More informationMatching patterns of line segments by eigenvector decomposition
Title Mtching ptterns of line segments y eigenvector decomposition Author(s) Chn, BHB; Hung, YS Cittion The 5th IEEE Southwest Symposium on Imge Anlysis nd Interprettion Proceedings, Snte Fe, NM., 7-9
More informationQUADRATURE is an old-fashioned word that refers to
World Acdemy of Science Engineering nd Technology Interntionl Journl of Mthemticl nd Computtionl Sciences Vol:5 No:7 011 A New Qudrture Rule Derived from Spline Interpoltion with Error Anlysis Hdi Tghvfrd
More informationAnalytically, vectors will be represented by lowercase bold-face Latin letters, e.g. a, r, q.
1.1 Vector Alger 1.1.1 Sclrs A physicl quntity which is completely descried y single rel numer is clled sclr. Physiclly, it is something which hs mgnitude, nd is completely descried y this mgnitude. Exmples
More informationStrategy: Use the Gibbs phase rule (Equation 5.3). How many components are present?
University Chemistry Quiz 4 2014/12/11 1. (5%) Wht is the dimensionlity of the three-phse coexistence region in mixture of Al, Ni, nd Cu? Wht type of geometricl region dose this define? Strtegy: Use the
More informationMechanism of Roughness-induced CO 2 Microbubble Nucleation in Polypropylene Foaming
Electronic Supplementry Mteril (ESI) for Physicl Chemistry Chemicl Physics. This journl is the Owner Societies 2017 Supporting Informtion Mechnism of Roughness-induced CO 2 Microbubble Nucletion in Polypropylene
More informationExam 1 Solutions (1) C, D, A, B (2) C, A, D, B (3) C, B, D, A (4) A, C, D, B (5) D, C, A, B
PHY 249, Fll 216 Exm 1 Solutions nswer 1 is correct for ll problems. 1. Two uniformly chrged spheres, nd B, re plced t lrge distnce from ech other, with their centers on the x xis. The chrge on sphere
More informationThis chapter will show you. What you should already know. 1 Write down the value of each of the following. a 5 2
1 Direct vrition 2 Inverse vrition This chpter will show you how to solve prolems where two vriles re connected y reltionship tht vries in direct or inverse proportion Direct proportion Inverse proportion
More informationMonte Carlo method in solving numerical integration and differential equation
Monte Crlo method in solving numericl integrtion nd differentil eqution Ye Jin Chemistry Deprtment Duke University yj66@duke.edu Abstrct: Monte Crlo method is commonly used in rel physics problem. The
More informationMeasuring Electron Work Function in Metal
n experiment of the Electron topic Mesuring Electron Work Function in Metl Instructor: 梁生 Office: 7-318 Emil: shling@bjtu.edu.cn Purposes 1. To understnd the concept of electron work function in metl nd
More informationCHM Physical Chemistry I Chapter 1 - Supplementary Material
CHM 3410 - Physicl Chemistry I Chpter 1 - Supplementry Mteril For review of some bsic concepts in mth, see Atkins "Mthemticl Bckground 1 (pp 59-6), nd "Mthemticl Bckground " (pp 109-111). 1. Derivtion
More information6. Photoionization of acridine through singlet and triplet channels
Chpter 6: Photoioniztion of cridine through singlet nd triplet chnnels 59 6. Photoioniztion of cridine through singlet nd triplet chnnels Photoioinztion of cridine (Ac) in queous micelles hs not yet een
More informationR. I. Badran Solid State Physics
I Bdrn Solid Stte Physics Crystl vibrtions nd the clssicl theory: The ssmption will be mde to consider tht the men eqilibrim position of ech ion is t Brvis lttice site The ions oscillte bot this men position
More informationHomework Solution - Set 5 Due: Friday 10/03/08
CE 96 Introduction to the Theory of Computtion ll 2008 Homework olution - et 5 Due: ridy 10/0/08 1. Textook, Pge 86, Exercise 1.21. () 1 2 Add new strt stte nd finl stte. Mke originl finl stte non-finl.
More informationExamples Using both 2-D sections from Figure 3, data has been modeled for (acoustic) P and (elastic) S wave field
Suslt illumintion studies through longitudinl nd trnsversl wve propgtion Riz Ali *, Jn Thorecke nd Eric Verschuur, Delft University of Technology, The Netherlnds Copyright 2007, SBGf - Sociedde Brsileir
More informationarxiv:hep-ex/ v1 12 Sep 1998
Evidence of the φ ηπ γ decy rxiv:hep-ex/9891v1 12 Sep 1998 Astrct M.N.Achsov, V.M.Aulchenko, S.E.Bru, A.V.Berdyugin, A.V.Bozhenok, A.D.Bukin, D.A.Bukin, S.V.Burdin, T.V.Dimov, S.I.Dolinski, V.P.Druzhinin,
More informationHints for Exercise 1 on: Current and Resistance
Hints for Exercise 1 on: Current nd Resistnce Review the concepts of: electric current, conventionl current flow direction, current density, crrier drift velocity, crrier numer density, Ohm s lw, electric
More informationThomas Whitham Sixth Form
Thoms Whithm Sith Form Pure Mthemtics Unit C Alger Trigonometry Geometry Clculus Vectors Trigonometry Compound ngle formule sin sin cos cos Pge A B sin Acos B cos Asin B A B sin Acos B cos Asin B A B cos
More informationSOUND INTENSITY PROBE CALIBRATOR FOR FIELD USE: CALCULATING THE SOUND FIELD IN THE CALIBRATOR USING BOUNDARY ELEMENT MODELLING
Pge 1 of 1 SOUND INTENSITY PROBE CALIBRATOR FOR FIELD USE: CALCULATING THE SOUND FIELD IN THE CALIBRATOR USING BOUNDARY ELEMENT MODELLING PACS REFERENCE: 43.58 Fm Ginn, Bernrd; Olsen,Erling; Cutnd,Vicente;
More information7.1 Integral as Net Change Calculus. What is the total distance traveled? What is the total displacement?
7.1 Integrl s Net Chnge Clculus 7.1 INTEGRAL AS NET CHANGE Distnce versus Displcement We hve lredy seen how the position of n oject cn e found y finding the integrl of the velocity function. The chnge
More informationRecitation 3: More Applications of the Derivative
Mth 1c TA: Pdric Brtlett Recittion 3: More Applictions of the Derivtive Week 3 Cltech 2012 1 Rndom Question Question 1 A grph consists of the following: A set V of vertices. A set E of edges where ech
More informationPolynomials and Division Theory
Higher Checklist (Unit ) Higher Checklist (Unit ) Polynomils nd Division Theory Skill Achieved? Know tht polynomil (expression) is of the form: n x + n x n + n x n + + n x + x + 0 where the i R re the
More informationNUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by.
NUMERICAL INTEGRATION 1 Introduction The inverse process to differentition in clculus is integrtion. Mthemticlly, integrtion is represented by f(x) dx which stnds for the integrl of the function f(x) with
More informationList all of the possible rational roots of each equation. Then find all solutions (both real and imaginary) of the equation. 1.
Mth Anlysis CP WS 4.X- Section 4.-4.4 Review Complete ech question without the use of grphing clcultor.. Compre the mening of the words: roots, zeros nd fctors.. Determine whether - is root of 0. Show
More informationThe Minimum Label Spanning Tree Problem: Illustrating the Utility of Genetic Algorithms
The Minimum Lel Spnning Tree Prolem: Illustrting the Utility of Genetic Algorithms Yupei Xiong, Univ. of Mrylnd Bruce Golden, Univ. of Mrylnd Edwrd Wsil, Americn Univ. Presented t BAE Systems Distinguished
More informationNew data structures to reduce data size and search time
New dt structures to reduce dt size nd serch time Tsuneo Kuwbr Deprtment of Informtion Sciences, Fculty of Science, Kngw University, Hirtsuk-shi, Jpn FIT2018 1D-1, No2, pp1-4 Copyright (c)2018 by The Institute
More informationEmission of K -, L - and M - Auger Electrons from Cu Atoms. Abstract
Emission of K -, L - nd M - uger Electrons from Cu toms Mohmed ssd bdel-rouf Physics Deprtment, Science College, UEU, l in 17551, United rb Emirtes ssd@ueu.c.e bstrct The emission of uger electrons from
More information- 5 - TEST 2. This test is on the final sections of this session's syllabus and. should be attempted by all students.
- 5 - TEST 2 This test is on the finl sections of this session's syllbus nd should be ttempted by ll students. Anything written here will not be mrked. - 6 - QUESTION 1 [Mrks 22] A thin non-conducting
More informationBend Forms of Circular Saws and Evaluation of their Mechanical Properties
ISSN 139 13 MATERIALS SCIENCE (MEDŽIAGOTYRA). Vol. 11, No. 1. 5 Bend Forms of Circulr s nd Evlution of their Mechnicl Properties Kristin UKVALBERGIENĖ, Jons VOBOLIS Deprtment of Mechnicl Wood Technology,
More informationStudent Activity 3: Single Factor ANOVA
MATH 40 Student Activity 3: Single Fctor ANOVA Some Bsic Concepts In designed experiment, two or more tretments, or combintions of tretments, is pplied to experimentl units The number of tretments, whether
More informationCONTRIBUTION TO THE EXTENDED DYNAMIC PLANE SOURCE METHOD
CONTRIBUTION TO THE EXTENDED DYNAMIC PLANE SOURCE METHOD Svetozár Mlinrič Deprtment of Physics, Fculty of Nturl Sciences, Constntine the Philosopher University, Tr. A. Hlinku, SK-949 74 Nitr, Slovki Emil:
More information4.4 Areas, Integrals and Antiderivatives
. res, integrls nd ntiderivtives 333. Ares, Integrls nd Antiderivtives This section explores properties of functions defined s res nd exmines some connections mong res, integrls nd ntiderivtives. In order
More informationTHEORY OF VIBRATIONS OF TETRA-ATOMIC SYMMETRIC BENT MOLECULES
terils Physics nd echnics (0 9- Received: rch 0 THEORY OF VIRTIONS OF TETR-TOIC SYETRIC ENT OLECLES lexnder I eler * ri Krupin Vitly Kotov Deprtment of Physics of Strength nd Plsticity of terils Deprtment
More informationSTRUCTURAL AND MAGNETIC PROPERTIES OF Fe/Si x Fe 1! x MULTILAYERS
MOLECULAR PHYSICS REPORTS 0 (00) 8-86 STRUCTURAL AND MAGNETIC PROPERTIES OF Fe/ x Fe! x MULTILAYERS P. WANDZIUK, M. KOPCEWICZ, B. SZYMAŃSKI, AND T. LUCIŃSKI Institute of Moleculr Physics, Polish Acdemy
More informationContinuous Random Variables Class 5, Jeremy Orloff and Jonathan Bloom
Lerning Gols Continuous Rndom Vriles Clss 5, 8.05 Jeremy Orloff nd Jonthn Bloom. Know the definition of continuous rndom vrile. 2. Know the definition of the proility density function (pdf) nd cumultive
More informationClassical Mechanics. From Molecular to Con/nuum Physics I WS 11/12 Emiliano Ippoli/ October, 2011
Clssicl Mechnics From Moleculr to Con/nuum Physics I WS 11/12 Emilino Ippoli/ October, 2011 Wednesdy, October 12, 2011 Review Mthemtics... Physics Bsic thermodynmics Temperture, idel gs, kinetic gs theory,
More informationSimulation of Eclipsing Binary Star Systems. Abstract
Simultion of Eclipsing Binry Str Systems Boris Yim 1, Kenny Chn 1, Rphel Hui 1 Wh Yn College Kowloon Diocesn Boys School Abstrct This report briefly introduces the informtion on eclipsing binry str systems.
More informationChapter 4 Contravariance, Covariance, and Spacetime Diagrams
Chpter 4 Contrvrince, Covrince, nd Spcetime Digrms 4. The Components of Vector in Skewed Coordintes We hve seen in Chpter 3; figure 3.9, tht in order to show inertil motion tht is consistent with the Lorentz
More informationAMPERE CONGRESS AMPERE on Magnetic Resonance and Related Phenomena. Under the auspices of The GROUPEMENT AMPERE
AMPERE 2000 th 30 CONGRESS AMPERE on Mgnetic Resonnce nd Relted Phenomen Lison, Portugl, 23-2 July 2000 Under the uspices of The GROUPEMENT AMPERE Edited y: A.F. MARTINS, A.G. FEIO nd J.G. MOURA Sponsoring
More informationDriving Cycle Construction of City Road for Hybrid Bus Based on Markov Process Deng Pan1, a, Fengchun Sun1,b*, Hongwen He1, c, Jiankun Peng1, d
Interntionl Industril Informtics nd Computer Engineering Conference (IIICEC 15) Driving Cycle Construction of City Rod for Hybrid Bus Bsed on Mrkov Process Deng Pn1,, Fengchun Sun1,b*, Hongwen He1, c,
More informationTHERMAL EXPANSION COEFFICIENT OF WATER FOR VOLUMETRIC CALIBRATION
XX IMEKO World Congress Metrology for Green Growth September 9,, Busn, Republic of Kore THERMAL EXPANSION COEFFICIENT OF WATER FOR OLUMETRIC CALIBRATION Nieves Medin Hed of Mss Division, CEM, Spin, mnmedin@mityc.es
More informationChapter 6 Techniques of Integration
MA Techniques of Integrtion Asst.Prof.Dr.Suprnee Liswdi Chpter 6 Techniques of Integrtion Recll: Some importnt integrls tht we hve lernt so fr. Tle of Integrls n+ n d = + C n + e d = e + C ( n ) d = ln
More informationSupplementary Figure 1 Supplementary Figure 2
Supplementry Figure 1 Comprtive illustrtion of the steps required to decorte n oxide support AO with ctlyst prticles M through chemicl infiltrtion or in situ redox exsolution. () chemicl infiltrtion usully
More informationLecture Solution of a System of Linear Equation
ChE Lecture Notes, Dept. of Chemicl Engineering, Univ. of TN, Knoville - D. Keffer, 5/9/98 (updted /) Lecture 8- - Solution of System of Liner Eqution 8. Why is it importnt to e le to solve system of liner
More informationFORM FIVE ADDITIONAL MATHEMATIC NOTE. ar 3 = (1) ar 5 = = (2) (2) (1) a = T 8 = 81
FORM FIVE ADDITIONAL MATHEMATIC NOTE CHAPTER : PROGRESSION Arithmetic Progression T n = + (n ) d S n = n [ + (n )d] = n [ + Tn ] S = T = T = S S Emple : The th term of n A.P. is 86 nd the sum of the first
More informationRel Gses 1. Gses (N, CO ) which don t obey gs lws or gs eqution P=RT t ll pressure nd tempertures re clled rel gses.. Rel gses obey gs lws t extremely low pressure nd high temperture. Rel gses devited
More information13.4 Work done by Constant Forces
13.4 Work done by Constnt Forces We will begin our discussion of the concept of work by nlyzing the motion of n object in one dimension cted on by constnt forces. Let s consider the following exmple: push
More informationState space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies
Stte spce systems nlysis (continued) Stbility A. Definitions A system is sid to be Asymptoticlly Stble (AS) when it stisfies ut () = 0, t > 0 lim xt () 0. t A system is AS if nd only if the impulse response
More informationParse trees, ambiguity, and Chomsky normal form
Prse trees, miguity, nd Chomsky norml form In this lecture we will discuss few importnt notions connected with contextfree grmmrs, including prse trees, miguity, nd specil form for context-free grmmrs
More informationThermal Diffusivity. Paul Hughes. Department of Physics and Astronomy The University of Manchester Manchester M13 9PL. Second Year Laboratory Report
Therml iffusivity Pul Hughes eprtment of Physics nd Astronomy The University of nchester nchester 3 9PL Second Yer Lbortory Report Nov 4 Abstrct We investigted the therml diffusivity of cylindricl block
More informationAN IMPROVED SMALL CLOSED DRIFT THRUSTER WITH BOTH CONDUCTING AND DIELECT RIC CHANNELS
AN IMPROVED SMALL CLOSED DRIFT THRUSTER WITH BOTH CONDUCTING AND DIELECT RIC CHANNELS A.I.Bugrov, A.D.Desitskov, H.R.Kufmn, V.K.Khrchevnikov, A.I.Morozov c, V.V.Zhurin d Moscow Institute of Rdioelectronics,
More informationMIXED MODELS (Sections ) I) In the unrestricted model, interactions are treated as in the random effects model:
1 2 MIXED MODELS (Sections 17.7 17.8) Exmple: Suppose tht in the fiber breking strength exmple, the four mchines used were the only ones of interest, but the interest ws over wide rnge of opertors, nd
More information5: The Definite Integral
5: The Definite Integrl 5.: Estimting with Finite Sums Consider moving oject its velocity (meters per second) t ny time (seconds) is given y v t = t+. Cn we use this informtion to determine the distnce
More informationCBE 291b - Computation And Optimization For Engineers
The University of Western Ontrio Fculty of Engineering Science Deprtment of Chemicl nd Biochemicl Engineering CBE 9b - Computtion And Optimiztion For Engineers Mtlb Project Introduction Prof. A. Jutn Jn
More informationElectron Correlation Methods
Electron Correltion Methods HF method: electron-electron interction is replced by n verge interction E HF c E 0 E HF E 0 exct ground stte energy E HF HF energy for given bsis set HF Ec 0 - represents mesure
More information8Similarity UNCORRECTED PAGE PROOFS. 8.1 Kick off with CAS 8.2 Similar objects 8.3 Linear scale factors. 8.4 Area and volume scale factors 8.
8.1 Kick off with S 8. Similr ojects 8. Liner scle fctors 8Similrity 8. re nd volume scle fctors 8. Review U N O R R E TE D P G E PR O O FS 8.1 Kick off with S Plese refer to the Resources t in the Prelims
More informationAPPROXIMATE INTEGRATION
APPROXIMATE INTEGRATION. Introduction We hve seen tht there re functions whose nti-derivtives cnnot be expressed in closed form. For these resons ny definite integrl involving these integrnds cnnot be
More informationSection 6: Area, Volume, and Average Value
Chpter The Integrl Applied Clculus Section 6: Are, Volume, nd Averge Vlue Are We hve lredy used integrls to find the re etween the grph of function nd the horizontl xis. Integrls cn lso e used to find
More informationReading from Young & Freedman: For this topic, read the introduction to chapter 24 and sections 24.1 to 24.5.
PHY1 Electricity Topic 5 (Lectures 7 & 8) pcitors nd Dielectrics In this topic, we will cover: 1) pcitors nd pcitnce ) omintions of pcitors Series nd Prllel 3) The energy stored in cpcitor 4) Dielectrics
More informationHow do we solve these things, especially when they get complicated? How do we know when a system has a solution, and when is it unique?
XII. LINEAR ALGEBRA: SOLVING SYSTEMS OF EQUATIONS Tody we re going to tlk out solving systems of liner equtions. These re prolems tht give couple of equtions with couple of unknowns, like: 6= x + x 7=
More information