Molecular Simulations of Biomolecules. Using Groningen Machine for Chemical Simulations (GROMACS)
|
|
- Benedict Bruce
- 6 years ago
- Views:
Transcription
1 Molecula Smulaons of Bomolecules Usng Gonngen Machne fo Chemcal Smulaons (GROMACS)
2 Molecula Dynamc Smulaons: Sascal Mechancs of Classcal Sysems Assumpon: Classcal descpon s adequae fo he sysem unde obsevaon. Knec enegy Poenal enegy ρ ( q, p) H( q, exp KbT Q p) dq H( q, dpexp KbT p) Ensemble Aveage A τ 1 (, )d τ 0 ( q, p ) A q () p () Tme Aveage Egodc hypohess
3 Molecula Dynamc Smulaons Compue foces fo a gven confguaon usng Foce felds Foce Feld consss of paamees and funcons Bonded Ineacons Non bonded Ineacons Solve Equaon of Moon Compue Foce, veloces and acceleaon Scalng faco facos fo velocy and volume Apply Consans
4 Poenal Enegy Funcon Foce Felds: Relaes a gven confguaon o enegy Bonded Ineacons + Non Bonded Ineacons Bonded Ineacons Bond V Covalen b 1 (, ) k ( b) j b j Angle Va Bond 1 (,, ) k ( θ θ ) θ j k 0 θ accos j j j kj Dhedal Angle V d V ( φ) kφ ( 1+ cos( nφ φ )) 5 ( φ) ( cos( φ) ) n d C n n 0 0 φ accos n j m jk kj n nmmlk Impope Dhedal 1 ( ξ ) ( ξ ξ ) ξ V d jkl k jkl 0
5 Poenal Enegy Funcon Non bonded Ineacons Pa addve Lennad Jones v LJ 1 6 C () 1 C σ σ 6 4ε 1 6 Coulomb Ineacon v C () q q 4πε 0 ε j Reduce N Complexy by usng Cu offs Swchng funcons o swch he foces off a cu off dsances
6 Poenal Enegy funcon: Lennad Jones Ineacons Cu off s long enough ha epulson em can be negleced V l 1 Nρ 4π 0 g ( )d () V () V () c Fo plan cu off and g() 1 beyond c V l 3 πnρc6c 3 Aveage dspeson consan fo homogeneous mxues N N C C N, 6 6 ( N 1) j> ( j)
7 Poenal Enegy funcon: Coulomb neacons Aoms ousde he cuoff ae eplaced wh delecc connuum. Aoms nsde he cuoff nduce a eacon feld n he connuum ha s added o explc Coulomb neacons beween he cenal aoms and hose whn cuoffs. V cf q q ε ε q q 3 j f j ε j ε f + ε c 4πε0 πε ε c ε f + ε j 3ε f
8 Poenal Enegy funcon: Coulomb neacons Lace summaon: Poenal s spl no sho ange and long ange. Long ange poenal (n PBC) s epesened by fs few ems of s Foue sees. 1 1 qq ' j UC n4πε 0, j 1 n j + L qδ( ) q ( ) w( ) + qw( ) [ δ ] 3 β w () e 3/ π U U + U U 1 1 ( β ) s l C C C efc ( β ) j + L s ' C 4πε 0, j 1 n j + L l ( ) 1 nk k j β C j exp ε0v, j 1 0k 4β 4πε k 0 π U qq e q n
9 Foce Feld Types All aom foce felds: All aoms ae explcly Modeled OPLS (Opmzed Poenals fo lqud Smulaons) CHARMM ( Chemsy a HARvad Macomolecula Mechancs) AMBER (Asssed Model Buldng wh Enegy Refnemen) Uned aom Foce Felds: Alphac and aomac hydogen aoms ae ncluded mplcly n by epesenng cabon aoms and aached hydogen as sngle goup GROMOS Coase Ganed Foce Felds: Mulple aoms ae epesened by a sngle bead MARTINI
10 Equaon of Moon Leap fog algohm () ( ) ( ) Δ Δ Δ + Δ Δ + v m v v F Velocy Vele algohm ( ) () () ( ) () ( ) ( ) () ( ) [ ] m v v m v + Δ + Δ + + Δ Δ + Δ + Δ + FFF Consans ( ) ( ) ( ) ( ) () () [ ] () k K k k c c u N k m K k + Δ + Δ + + Δ σ λ σ ; )... (FFF( ) k K k k m Δ Δ σ λ 1 ( ) 0 d σ
11 Tempeaue and pessue couplng T N m v 3Nk B 1 Beendsen Themosa and Baosa 1 P + F 3V E kn j j dt T0 T d τ Δ T λ 1+ τ 0 T T Andesen Themosa Nose Hoove Themosa dp P0 P d τ 3 Δ χ 1 β τ ' χ 3 V ' χ V ( P P) Panello RahmanBaosa 0
12 Open Souce Fee Fas Tons of analyss ools Acve developmen Gomacs
13 GROMACS: fles and pogams Cysal Sucue fom PDB daabase (.pdb) Foce Feld Paamees ($d/shae/gomacs/op) Run npu paamees (.mdp) gompp pdbgmx Molecule s Topology (.op,.p) Run npu fle (.p) mdun Oupu fles (.xc,.,.xvg)
14 Foce Feld Paamees ($d/shae/gomacs/op) ffoplsaa.p Use LJ funcon [ defauls ] ; nbfunc comb-ule gen-pas fudgelj fudgeqq 1 3 yes #nclude "ffoplsaanb.p" #nclude "ffoplsaabon.p" ffoplsaanb.p and ffoplsaabon.p conans non bonded and bonded paamees fo he poenal enegy funcon, especvely Geneae 1 4 usng FudgeLJ and FudgeQQ Covalenly bonded aoms wh n molecules ha ae closed by n he chan, canno be modeled by LJ neacons and ae heefoe excluded (, +1, +) Fo he hd neghbou neacons ae scaled Type of C emnal (ffoplsaa c.db ) Type of N emnal (ffoplsaa n.db) Hydogen daabase (ffoplsaa.hdb) Bonded paamees fo esdues (ffoplsaa.p) pdbgmx Molecule s Topology (.op,.p)
15 Example: Smulaon of WLXLL pepdes a cyclohexane wae neface Am: To elucdae he paonng pefeences of sde chans of X ; Include focefeld paamees #nclude "ffoplsaa.p #nclude poen.p ; Include wae opology #nclude "spce.p ; Include genec opology fo ons #nclude "ons.p ; Include cyclohexane opology #nclude "cyhex_mod.p [ sysem ] ; Name Poen a neface [ molecules ] ; Compound #mols Poen K+ 4 SOL 943 chex 409 Inal Confguaon Topology fle
16 Example: mdp fle negao md d 0.00 ; me sep nseps ; numbe of seps nscomm 1 ; ese c.o.m. moon comm_mode lnea nsxou 1000 nsxcou 1000 nsvou 1000 ; we veloces nslog 1000 ; pn o logfle nsenegy 1000 ; pn eneges nsls 10 ; updae pals ns_ype gd ; pals mehod coulombype pme fouespacng 0.1 pmeode 4 ewald_ol 1.0e 6 ewald_geomey 3d consans all bonds consan_algohm lncs vdw ype swch vdw swch 0.9 vdw 1.1 ; cu off fo vdw ls 1. ; cu off fo ns coulomb 1. ; cu off fo coulomb Tcoupl beendsen ; empeaue couplng ef_ c gps SOL_IONS CYC au_ Pcoupl beensen ; pessue bah Pcouplype semsoopc ; pessue au_p.5.5 ; p couplng me compessbly 0 4.5e 5 ef_p 1 1 gen_vel no ; geneae nal veloces ;gen_vel yes ; geneae nal veloces ;gen_emp 300 ; nal empeaue ;gen_seed 1993 ; andom seed pbc xyz gompp f sample.mdp p opology.op c confguaon.go o mdun npu.p n ndex.ndx mpun np numbe_of_pocessos mdun s mdun npu.p
17 Smulaon of WLXLL pepdes a cyclohexanewae neface gompp Run npu fle (.p) mdun Oupu fles (.xc,.,.xvg) gaj, gdens COM of sdechan as funcon of me Densy as funcon of poson
18 Fee Enegy: Example Measung Wmley Whe hydophobcy scale Wmley & Whe measued paonng of Ac WLXLL no LUV membanes of POPC Expemens WLXLL ne ΔG WLXLL WLXLL bulk WLLLL ne ΔG WLLLL WLLLL bulk WLLL ne ΔG WLLL WLLL bulk ΔΔ G ΔG ΔG Leu WLLLL WLLL esdue Δ G ΔΔ G + ( ΔG ΔG ) X Leu WLXLL WLLLL
19 A β 1 ln QNVT (,, ) Alchemcal Smulaons V( λ) (1 λ) V + λv [ V( ) V( )] 1 β λ+δλ λ A( λ+δλ) A( λ) β ln e da V dλ λ Fee enegy calculaons λ A B λ Fee enegy peubaon mehod Themodynamc negaon mehod ( ) ( ) ( ) Δ A ξ A ξ A ξ β 0 ( ξ ) ( ξ ) 0 1 ln ( ξ ) ( ξ ) 1 Δ A( ξ ) β ln + [ U( ξ) U( ξ0 )] 0 Umbella Samplng Modfy ognal PEF by addng basng poenal
20 Themodynamc negaon: Example WLXLL ne Expemens ΔG WLXLL WLXLL bulk WLXLL Ine ΔG A1 Smulaon ΔG WLXLL WLXLL Bulk ΔG B1 WLLLL ne ΔG WLLLL WLLLL bulk WLD X LL Ine WLD X LL Bulk ΔG A ΔG B WLLL ne ΔG WLLL WLLL bulk WLALL Ine ΔG WLALL WLALL Bulk ΔΔ G ΔG ΔG Leu WLLLL WLLL esdue Δ G ΔΔ G + ( ΔG ΔG ) ΔΔ X Leu WLXLL esdue G ΔGWLXLL ΔGWLALL WLLLL esdue G GWLXLL GWLALL ΔΔ Δ Δ ΔG ΔG ( ΔG ΔG ) A1 A B1 B ΔG ΔG ( ΔG ΔG ) A1 B1 A B ΔG ΔG X ALA
21 Example: op fle and mdp fle [ aomypes ] ; Dummy aoms added fo fee enegy calculaons dum_sc4 SC A e e 00 [moleculeype] ;molname exclusons Poen 1 [aoms] ;N Type esn esdue aom cgn chage mass ypeb chageb massb. 9 SC4 3 PHE SCSC dum_sc SC4 3 PHE SCSC dum_sc SC4 3 PHE SCSC dum_sc fee_enegy yes n_lambda 0.00 sc_alpha 0.5 sc powe 1.0 V() (1 λ) V ( ) + λv ( ) p 6 A ( cλ + ) sc sgma 0.47 B ( p ( ) ) 6 1 λ c + A A B B 1/6 1/6 Modfes LJ neacons a all nemedae λ o avod sngulay c 6 ασ
22 Themodynamc negaon: Example Cyclohexane wae neface Smulaons ΔG WLFLL WLFLL ne WLFLL bulk ΔG A1 ΔG B1 WLF d LL ne WLF d LL bulk ΔG A ΔG B WLALL ne ΔG WLALL WLALL bulk ΔΔ Δ Δ esdue G GWLFLL GWLALL ΔG Δ G +ΔG ΔG A1 A B B ( 3.6) + ( 4.6) kJ/mol λ 1 dv Δ GA 1 λ 0 dλ 36.8kJ/mol
23 Umbella Samplng pull umbella pull_geomey poson pull_dm N NY pull_nsxou 10 pull_nsfou 0 pull_ngoups 1 pull_sa no pull_goup0 CHEX pull_goup1 Poen pull_vec pull_n pull_k1 1000
24 Umbella Samplng Smulaons ΔG WLFLL WLFLL ne ΔG A1 WLFLL bulk ΔG B1 WLF d LL ne WLF d LL bulk ΔG A ΔG B WLALL ne ΔG WLALL WLALL bulk ΔΔ Δ Δ esdue G GWLFLL GWLALL kJ/mol
25 Assumpon: Classcal descpon of he sysem s adequae fo he sysem unde obsevaon. Fne sysem sze (pocess nvolvng phase ansons) Samplng
26 Refeences Allen, M. P. & Tldesley, D. J. (1989), Compue Smulaon of Lquds, Oxfod Unvesy Pess, USA. GROMACS 4.0 Manual. Fenkel, D. & Sm, B. (001), Undesandng Molecula Smulaon, Academc Pess. Leach, A. R. (001), Molecula Modellng pncples and applcaons, Pence Hall. Chpo, C. & Poholle, A., ed. (007), Fee Enegy Calculaons. Theoy and Applcaons n Chemsy and Bology, Vol. 86, Spnge. Oen M. Becke, Beno Roux, M. W., ed. (001), Compuaonal Bochemsy and Bophyscs, CRC.
Molecular dynamics modeling of thermal and mechanical properties
Molecula dynamcs modelng of hemal and mechancal popees Alejando Sachan School of Maeals Engneeng Pudue Unvesy sachan@pudue.edu Maeals a molecula scales Molecula maeals Ceamcs Meals Maeals popees chas Maeals
More informationField due to a collection of N discrete point charges: r is in the direction from
Physcs 46 Fomula Shee Exam Coulomb s Law qq Felec = k ˆ (Fo example, f F s he elecc foce ha q exes on q, hen ˆ s a un veco n he decon fom q o q.) Elecc Feld elaed o he elecc foce by: Felec = qe (elecc
More informationBasic molecular dynamics
1.1, 3.1, 1.333,. Inoducon o Modelng and Smulaon Spng 11 Pa I Connuum and pacle mehods Basc molecula dynamcs Lecue Makus J. Buehle Laboaoy fo Aomsc and Molecula Mechancs Depamen of Cvl and Envonmenal Engneeng
More informationTime-Dependent Density Functional Theory in Condensed Matter Physics
Exenal Revew on Cene fo Compuaonal Scences Unvesy of Tsukuba 013..18-0 Tme-Dependen Densy Funconal Theoy n Condensed Mae Physcs K. YABANA Cene fo Compuaonal Scences Unvesy of Tsukuba Collaboaos: G.F. Besch
More informationModern Energy Functional for Nuclei and Nuclear Matter. By: Alberto Hinojosa, Texas A&M University REU Cyclotron 2008 Mentor: Dr.
Moden Enegy Funconal fo Nucle and Nuclea Mae By: lbeo noosa Teas &M Unvesy REU Cycloon 008 Meno: D. Shalom Shlomo Oulne. Inoducon.. The many-body poblem and he aee-fock mehod. 3. Skyme neacon. 4. aee-fock
More information5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( )
5-1. We apply Newon s second law (specfcally, Eq. 5-). (a) We fnd he componen of he foce s ( ) ( ) F = ma = ma cos 0.0 = 1.00kg.00m/s cos 0.0 = 1.88N. (b) The y componen of he foce s ( ) ( ) F = ma = ma
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 informationNanoparticles. Educts. Nucleus formation. Nucleus. Growth. Primary particle. Agglomeration Deagglomeration. Agglomerate
ucs Nucleus Nucleus omaon cal supesauaon Mng o eucs, empeaue, ec. Pmay pacle Gowh Inegaon o uson-lme pacle gowh Nanopacles Agglomeaon eagglomeaon Agglomeae Sablsaon o he nanopacles agans agglomeaon! anspo
More informationName of the Student:
Engneeng Mahemacs 05 SUBJEC NAME : Pobably & Random Pocess SUBJEC CODE : MA645 MAERIAL NAME : Fomula Maeal MAERIAL CODE : JM08AM007 REGULAION : R03 UPDAED ON : Febuay 05 (Scan he above QR code fo he dec
More informationForce fields, thermo- and barostats. Berk Hess
Force fields, thermo- and barostats Berk Hess What is a force field? A force field usually consists of three parts: a set of functional forms parameters for the functional forms that, usually, depend on
More informationAb Initio Calculations of Intermolecular Interactions. calculating dispersion energies is hard; (BSSE)
V()/k B / K Ab Initio Calculations of Intemolecula Inteactions 100 80 0 40 20 0 Calculated Ne 2 Potentials basis=aug-cc-vqz HF MP2 QCISD(T) B3LYP V() / k B /K 100 80 0 40 20 0 Ne 2 Potentials - Calc &
More informationComplex atoms and the Periodic System of the elements
Complex atoms and the Peodc System of the elements Non-cental foces due to electon epulson Cental feld appoxmaton electonc obtals lft degeneacy of l E n l = R( hc) ( n δ ) l Aufbau pncple Lectue Notes
More informationCourse Outline. 1. MATLAB tutorial 2. Motion of systems that can be idealized as particles
Couse Oulne. MATLAB uoal. Moon of syses ha can be dealzed as pacles Descpon of oon, coodnae syses; Newon s laws; Calculang foces equed o nduce pescbed oon; Deng and solng equaons of oon 3. Conseaon laws
More informationMay 29, 2018, 8:45~10:15 IB011 Advanced Lecture on Semiconductor Electronics #7
May 9, 8, 8:5~:5 I Advanced Lecue on Semconduco leconcs #7 # Dae Chape 7 May 9 Chape 5.Deec and Cae Cae Scaeng Ionzed mpuy scaeng, Alloy scaeng, Neual mpuy scaeng, Ineace oughness scaeng, Auge / Scaeng
More informationMotion 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 informationChapter 32. Computations of radial distributions functions, PMFs and diffusion constants
Chapter 32 Computations of radial distributions functions, PMFs and diffusion constants After studying this chapter, you will be able to perform the 1) Calculations of radial distribution functions between
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 informationTRANSIENTS. Lecture 5 ELEC-E8409 High Voltage Engineering
TRANSIENTS Lece 5 ELECE8409 Hgh Volage Engneeng TRANSIENT VOLTAGES A ansen even s a sholved oscllaon (sgnfcanly fase han opeang feqency) n a sysem cased by a sdden change of volage, cen o load. Tansen
More informationNumerical solution of differential equations
Numecal soluon of ffeenal euaons Devng an solvng ffeenal euaons DE s a common ask n compuaonal eseac. Many pyscal laws/elaons ae fomulae n ems of DE. Mos connuum smulaon meos ae base on soluon of DE. Aloug
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 informationTime-Dependent Density Functional Theory in Optical Sciences
Exenal Revew on Cene fo Compuaonal Scences Unvesy of Tsuuba 013..18-0 Tme-Dependen Densy Funconal Theoy n Opcal Scences K. YABANA Cene fo Compuaonal Scences Unvesy of Tsuuba Collaboaos: G.F. Besch Unv.
More informationI-POLYA PROCESS AND APPLICATIONS Leda D. Minkova
The XIII Inenaonal Confeence Appled Sochasc Models and Daa Analyss (ASMDA-009) Jne 30-Jly 3, 009, Vlns, LITHUANIA ISBN 978-9955-8-463-5 L Sakalaskas, C Skadas and E K Zavadskas (Eds): ASMDA-009 Seleced
More informations = rθ Chapter 10: Rotation 10.1: What is physics?
Chape : oaon Angula poson, velocy, acceleaon Consan angula acceleaon Angula and lnea quanes oaonal knec enegy oaonal nea Toque Newon s nd law o oaon Wok and oaonal knec enegy.: Wha s physcs? In pevous
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 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 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 informationPhysics 11b Lecture #2. Electric Field Electric Flux Gauss s Law
Physcs 11b Lectue # Electc Feld Electc Flux Gauss s Law What We Dd Last Tme Electc chage = How object esponds to electc foce Comes n postve and negatve flavos Conseved Electc foce Coulomb s Law F Same
More informationA multiple-relaxation-time lattice Boltzmann model for simulating. incompressible axisymmetric thermal flows in porous media
A mulple-elaxaon-me lace Bolmann model fo smulang ncompessble axsymmec hemal flows n poous meda Qng Lu a, Ya-Lng He a, Qng L b a Key Laboaoy of Themo-Flud Scence and Engneeng of Mnsy of Educaon, School
More informationCHAPTER 10: LINEAR DISCRIMINATION
HAPER : LINEAR DISRIMINAION Dscmnan-based lassfcaon 3 In classfcaon h K classes ( k ) We defned dsmnan funcon g () = K hen gven an es eample e chose (pedced) s class label as f g () as he mamum among g
More informationIncluding the ordinary differential of distance with time as velocity makes a system of ordinary differential equations.
Soluons o Ordnary Derenal Equaons An ordnary derenal equaon has only one ndependen varable. A sysem o ordnary derenal equaons consss o several derenal equaons each wh he same ndependen varable. An eample
More informationMolecular Dynamics in practice with GROMACS
Molecular Dynamics in practice with GROMACS GROMACS is one of the wold s fastest software package for molecular dynamics simulations. One can find many helpful materials, manual as well as to download
More informationLecture 5. Plane Wave Reflection and Transmission
Lecue 5 Plane Wave Reflecon and Tansmsson Incden wave: 1z E ( z) xˆ E (0) e 1 H ( z) yˆ E (0) e 1 Nomal Incdence (Revew) z 1 (,, ) E H S y (,, ) 1 1 1 Refleced wave: 1z E ( z) xˆ E E (0) e S H 1 1z H (
More informationESS 265 Spring Quarter 2005 Kinetic Simulations
SS 65 Spng Quae 5 Knec Sulaon Lecue une 9 5 An aple of an lecoagnec Pacle Code A an eaple of a knec ulaon we wll ue a one denonal elecoagnec ulaon code called KMPO deeloped b Yohhau Oua and Hoh Mauoo.
More information2 shear strain / L for small angle
Sac quaons F F M al Sess omal sess foce coss-seconal aea eage Shea Sess shea sess shea foce coss-seconal aea llowable Sess Faco of Safe F. S San falue Shea San falue san change n lengh ognal lengh Hooke
More informationDetermining Modern Energy Functional for Nuclei And The Status of The Equation of State of Nuclear Matter. Shalom Shlomo Texas A&M University
Deemnng Moden Enegy Funconal fo Nucle And The Saus of The Equaon of Sae of Nuclea Mae Shalom Shlomo Texas A&M Unvesy Oulne. Inoducon. Backgound Enegy Densy Funconal Equaon of Sae Collecve Saes. Enegy Densy
More informationCptS 570 Machine Learning School of EECS Washington State University. CptS Machine Learning 1
ps 57 Machne Leann School of EES Washnon Sae Unves ps 57 - Machne Leann Assume nsances of classes ae lneal sepaable Esmae paamees of lnea dscmnan If ( - -) > hen + Else - ps 57 - Machne Leann lassfcaon
More informationThe Unique Solution of Stochastic Differential Equations. Dietrich Ryter. Midartweg 3 CH-4500 Solothurn Switzerland
The Unque Soluon of Sochasc Dffeenal Equaons Dech Rye RyeDM@gawne.ch Mdaweg 3 CH-4500 Solohun Swzeland Phone +4132 621 13 07 Tme evesal n sysems whou an exenal df sngles ou he an-iô negal. Key wods: Sochasc
More informationParallel molecular dynamics simulations of pressure-induced structural transformations in cadmium selenide nanocrystals
Lousana Sae Unvesy LSU Dgal Commons LSU Docoal Dsseaons Gaduae School 005 Paallel molecula dynamcs smulaons of pessue-nduced sucual ansfomaons n cadmum selende nanocysals Ncholas Jaba Ouma Lee Lousana
More informationComputational Chemistry - MD Simulations
Computational Chemistry - MD Simulations P. Ojeda-May pedro.ojeda-may@umu.se Department of Chemistry/HPC2N, Umeå University, 901 87, Sweden. May 2, 2017 Table of contents 1 Basics on MD simulations Accelerated
More informationProtein Structure Analysis
BINF 731 Protein Modeling Methods Protein Structure Analysis Iosif Vaisman Ab initio methods: solution of a protein folding problem search in conformational space Energy-based methods: energy minimization
More informationto Assess Climate Change Mitigation International Energy Workshop, Paris, June 2013
Decomposng he Global TIAM-Maco Maco Model o Assess Clmae Change Mgaon Inenaonal Enegy Wokshop Pas June 2013 Socaes Kypeos (PSI) & An Lehla (VTT) 2 Pesenaon Oulne The global ETSAP-TIAM PE model and he Maco
More information1 Constant Real Rate C 1
Consan Real Rae. Real Rae of Inees Suppose you ae equally happy wh uns of he consumpon good oday o 5 uns of he consumpon good n peod s me. C 5 Tha means you ll be pepaed o gve up uns oday n eun fo 5 uns
More informationApplied Statistical Mechanics Lecture Note - 13 Molecular Dynamics Simulation
Appled Statstcal Mechancs Lectue Note - 3 Molecula Dynamcs Smulaton 고려대학교화공생명공학과강정원 Contents I. Basc Molecula Dynamcs Smulaton Method II. Popetes Calculatons n MD III. MD n Othe Ensembles I. Basc MD Smulaton
More informationSUBDIFFUSION SUPPORTS JOINING OF CORRECT ENDS DURING REPAIR OF
SUBDIFFUSIO SUPPORTS JOIIG OF CORRECT EDS DURIG REPAIR OF DA DOUBLE-STRAD BREAKS S. Gs *, V. Hable, G.A. Dexle, C. Geubel, C. Sebenwh,. Haum, A.A. Fedl, G. Dollnge Angewande Physk und essechnk LRT, Unvesä
More informationInteratomic Forces. Overview
Inteatomic Foces Oveview an de Walls (shot ange ~1/ 6, weak ~0.010.1 e) Ionic (long ange, ~1/, stong ~510 e) Metallic (no simple dependence, ~0.1e) Covalent (no simple dependence, diectional,~3 e) Hydogen
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 informationfreely available at
freely available at www.gromacs.org Generally 3 to 10 times faster than other Molecular Dynamics programs Very user-friendly: issues clear error messages, no scripting language is required to run the programs,
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 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 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 informationFree energy calculations
Free energy calculations Berk Hess May 5, 2017 Why do free energy calculations? The free energy G gives the population of states: ( ) P 1 G = exp, G = G 2 G 1 P 2 k B T Since we mostly simulate in the
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 informationTHEORETICAL AUTOCORRELATIONS. ) if often denoted by γ. Note that
THEORETICAL AUTOCORRELATIONS Cov( y, y ) E( y E( y))( y E( y)) ρ = = Var( y) E( y E( y)) =,, L ρ = and Cov( y, y ) s ofen denoed by whle Var( y ) f ofen denoed by γ. Noe ha γ = γ and ρ = ρ and because
More informationMolecular Dynamics Simulation Study forgtransport Properties of Diatomic Liquids
NpT EMD Smulaons of Daomc Lquds Bull. Korean Chem. Soc. 7, ol. 8, No. 697 Molecular Dynamcs Smulaon Sudy forgtranspor Properes of Daomc Lquds Song H Lee Deparmen of Chemsry, Kyungsung Unversy, Busan 68-736,
More informationV. Principles of Irreversible Thermodynamics. s = S - S 0 (7.3) s = = - g i, k. "Flux": = da i. "Force": = -Â g a ik k = X i. Â J i X i (7.
Themodynamcs and Knetcs of Solds 71 V. Pncples of Ievesble Themodynamcs 5. Onsage s Teatment s = S - S 0 = s( a 1, a 2,...) a n = A g - A n (7.6) Equlbum themodynamcs detemnes the paametes of an equlbum
More informationIntroduction ( Week 1-2) Course introduction A brief introduction to molecular biology A brief introduction to sequence comparison Part I: Algorithms
Course organzaon Inroducon Wee -2) Course nroducon A bref nroducon o molecular bology A bref nroducon o sequence comparson Par I: Algorhms for Sequence Analyss Wee 3-8) Chaper -3, Models and heores» Probably
More informationMuffin Tins, Green s Functions, and Nanoscale Transport [ ] Derek Stewart CNF Fall Workshop Cooking Lesson #1
Muffn Tns, Geen s Funcons, and Nanoscale Tanspo G [ ] E H Σ 1 Deek Sewa CNF Fall Wokshop Cookng Lesson #1 Talk Ovevew A moe localzed appoach Ogns: Mulple Scaeng Theoy & KK Lnea Muffn Tn Obals Geen s funcons
More informationH = d d q 1 d d q N d d p 1 d d p N exp
8333: Sacal Mechanc I roblem Se # 7 Soluon Fall 3 Canoncal Enemble Non-harmonc Ga: The Hamlonan for a ga of N non neracng parcle n a d dmenonal box ha he form H A p a The paron funcon gven by ZN T d d
More informationE For K > 0. s s s s Fall Physical Chemistry (II) by M. Lim. singlet. triplet
Eneges of He electonc ψ E Fo K > 0 ψ = snglet ( )( ) s s+ ss αβ E βα snglet = ε + ε + J s + Ks Etplet = ε + ε + J s Ks αα ψ tplet = ( s s ss ) ββ ( αβ + βα ) s s s s s s s s ψ G = ss( αβ βα ) E = ε + ε
More informationSubstances that are liquids or solids under ordinary conditions may also exist as gases. These are often referred to as vapors.
Chapte 0. Gases Chaacteistics of Gases All substances have thee phases: solid, liquid, and gas. Substances that ae liquids o solids unde odinay conditions may also exist as gases. These ae often efeed
More informationLecture 17: Kinetics of Phase Growth in a Two-component System:
Lecue 17: Kineics of Phase Gowh in a Two-componen Sysem: descipion of diffusion flux acoss he α/ ineface Today s opics Majo asks of oday s Lecue: how o deive he diffusion flux of aoms. Once an incipien
More informationcalculating electromagnetic
Theoeal mehods fo alulang eleomagne felds fom lghnng dshage ajeev Thoapplll oyal Insue of Tehnology KTH Sweden ajeev.thoapplll@ee.kh.se Oulne Despon of he poblem Thee dffeen mehods fo feld alulaons - Dpole
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 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 informationBioengineering 215. An Introduction to Molecular Dynamics for Biomolecules
Bioengineering 215 An Introduction to Molecular Dynamics for Biomolecules David Parker May 18, 2007 ntroduction A principal tool to study biological molecules is molecular dynamics simulations (MD). MD
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 informationGeneration of topology files of a protein chain and simulations of a dipeptide
Chapter-36 Generation of topology files of a protein chain and simulations of a dipeptide After studying this chapter, you will be able to 1) Generate a topology file of a dipeptide molecule. 2) Generate
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 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 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 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 information8. HAMILTONIAN MECHANICS
8. HAMILTONIAN MECHANICS In ode o poceed fom he classcal fomulaon of Maxwell's elecodynamcs o he quanum mechancal descpon a new mahemacal language wll be needed. In he pevous secons he elecomagnec feld
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 informationECE 6340 Intermediate EM Waves. Fall Prof. David R. Jackson Dept. of ECE. Notes 4
ECE 6340 Intemediate EM Waves Fall 016 Pof. David R. Jackson Dept. of ECE Notes 4 1 Debye Model This model explains molecula effects. y We conside an electic field applied in the x diection. Molecule:
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 informationChapter 5 Page 5.1 CHAPTER 5. r Force times distance has units of energy. Therefore, fxr=u, or f / is dimensionless.
Chapte 5 Page 5.1 CHAPTER 5 Poblem 5.1: 1 (a) u () 4 0.90.93 3.0 (b) Foce times distance has units of enegy. Theefoe, fx=u, o f/ is dimensionless. d f = d u 1 d f 4ε 1 = f = 4 ε1 d 13 f = 4 ε 1 f ε = 4
More informationNotes on Inductance and Circuit Transients Joe Wolfe, Physics UNSW. Circuits with R and C. τ = RC = time constant
Nes n Inducance and cu Tansens Je Wlfe, Physcs UNSW cus wh and - Wha happens when yu clse he swch? (clse swch a 0) - uen flws ff capac, s d Acss capac: Acss ess: c d s d d ln + cns. 0, ln cns. ln ln ln
More informationVan Gunsteren et al. Angew. Chem. Int. Ed. 45, 4064 (2006)
Van Gunsteren et al. Angew. Chem. Int. Ed. 45, 4064 (2006) Martini Workshop 2015 Coarse Graining Basics Alex de Vries Every word or concept, clear as it may seem to be, has only a limited range of applicability
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 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 informationAn Open cycle and Closed cycle Gas Turbine Engines. Methods to improve the performance of simple gas turbine plants
An Open cycle and losed cycle Gas ubine Engines Mehods o impove he pefomance of simple gas ubine plans I egeneaive Gas ubine ycle: he empeaue of he exhaus gases in a simple gas ubine is highe han he empeaue
More informationFIRMS IN THE TWO-PERIOD FRAMEWORK (CONTINUED)
FIRMS IN THE TWO-ERIO FRAMEWORK (CONTINUE) OCTOBER 26, 2 Model Sucue BASICS Tmelne of evens Sa of economc plannng hozon End of economc plannng hozon Noaon : capal used fo poducon n peod (decded upon n
More informationPhysics Exam II Chapters 25-29
Physcs 114 1 Exam II Chaptes 5-9 Answe 8 of the followng 9 questons o poblems. Each one s weghted equally. Clealy mak on you blue book whch numbe you do not want gaded. If you ae not sue whch one you do
More informationContact, information, consultations
ontact, nfomaton, consultatons hemsty A Bldg; oom 07 phone: 058-347-769 cellula: 664 66 97 E-mal: wojtek_c@pg.gda.pl Offce hous: Fday, 9-0 a.m. A quote of the week (o camel of the week): hee s no expedence
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 informationAccelerated Sequen.al Probability Ra.o Test (SPRT) for Ongoing Reliability Tes.ng (ORT)
cceleaed Sequen.al Pobably Ra.o Tes (SPRT) fo Ongong Relably Tes.ng (ORT) Mlena Kasch Rayheon, IDS Copygh 25 Rayheon Company. ll ghs eseved. Cusome Success Is Ou Msson s a egseed adema of Rayheon Company
More information1 2 U CV. K dq I dt J nqv d J V IR P VI
o 5 o T C T F 9 T K T o C 7.5 L L T V VT Q mct nct Q F V ml F V dq A H k TH TC dt L pv nt Kt nt CV ideal monatomic gas 5 CV ideal diatomic gas w/o vibation V W pdv V U Q W W Q e Q Q e Canot H C T T S C
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 informationGromacs Workshop Spring CSC
Gromacs Workshop Spring 2007 @ CSC Erik Lindahl Center for Biomembrane Research Stockholm University, Sweden David van der Spoel Dept. Cell & Molecular Biology Uppsala University, Sweden Berk Hess Max-Planck-Institut
More informationMolecular Dynamics. Molecules in motion
Molecular Dynamics Molecules in motion 1 Molecules in mo1on Molecules are not sta1c, but move all the 1me Source: h9p://en.wikipedia.org/wiki/kine1c_theory 2 Gasses, liquids and solids Gasses, liquids
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 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 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 informationIntroduction to. Computer Animation
Inroducon o 1 Movaon Anmaon from anma (la.) = soul, spr, breah of lfe Brng mages o lfe! Examples Characer anmaon (humans, anmals) Secondary moon (har, cloh) Physcal world (rgd bodes, waer, fre) 2 2 Anmaon
More informationAll-atom Molecular Mechanics. Trent E. Balius AMS 535 / CHE /27/2010
All-atom Molecular Mechanics Trent E. Balius AMS 535 / CHE 535 09/27/2010 Outline Molecular models Molecular mechanics Force Fields Potential energy function functional form parameters and parameterization
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 informationSuppose we have observed values t 1, t 2, t n of a random variable T.
Sppose we have obseved vales, 2, of a adom vaable T. The dsbo of T s ow o belog o a cea ype (e.g., expoeal, omal, ec.) b he veco θ ( θ, θ2, θp ) of ow paamees assocaed wh s ow (whee p s he mbe of ow paamees).
More informationFall 2010 Graduate Course on Dynamic Learning
Fall 200 Graduae Course on Dynamc Learnng Chaper 4: Parcle Flers Sepember 27, 200 Byoung-Tak Zhang School of Compuer Scence and Engneerng & Cognve Scence and Bran Scence Programs Seoul aonal Unversy hp://b.snu.ac.kr/~bzhang/
More informationSCIENCE CHINA Technological Sciences
SIENE HINA Technologcal Scences Acle Apl 4 Vol.57 No.4: 84 8 do:.7/s43-3-5448- The andom walkng mehod fo he seady lnea convecondffuson equaon wh axsymmec dsc bounday HEN Ka, SONG MengXuan & ZHANG Xng *
More information