Byeong-Joo Lee Atomistic Simulations Byeong-Joo Lee Dept. of MSE Pohang University of Science and...

Byeong-Joo Lee http://cmse.postech.ac.kr

Atomistic SimulationsAtomistic Simulations

Byeong-Joo LeeByeong-Joo Lee

Dept. of MSEDept. of MSE

Pohang University Pohang University

of Science and Technologyof Science and Technology

(POSTECH)(POSTECH)

calphad@postech.ac.krcalphad@postech.ac.kr

Atomistic SimulationAtomistic Simulation

I. General Aspects of Atomistic Modeling

II. Fundamentals of Molecular Dynamics III. Fundamentals of Monte Carlo Simulation

IV. Semi-Empirical Atomic Potentials (EAM, MEAM)

V. Analysis, Computation of Physical Quantities

VI. Exercise using Simulation Code

General Aspects of Atomistic SimulationGeneral Aspects of Atomistic Simulation

1. Objectives · Equilibrium configuration of a system of interacting particles, Analysis of the structure and its relation to physical properties. · Dynamic development

2. Applications · Crystal Structure, Point Defects, Surfaces, Interfaces, Grain Boundaries, Dislocations, Liquid and glasses, …

3. Challenges · Time and Size Limitations

· Interatomic Potential

• Potential Energy (e.g. pairwise interaction)

|)(|),,,( 21 jiLJiji

N rrrrrVV

• Equation of MotionVF

• Potential Truncation · Radial Cutoff · Long-range Correction · Neighbor List

• Periodic Boundary Condition · Minimum image criterion · Free surfaces

1 1 4 2 ( )x

General Aspects of Atomistic SimulationGeneral Aspects of Atomistic Simulation –– force & potential energy force & potential energy

ji rr j

ri VFi

General Aspects of Atomistic Simulation General Aspects of Atomistic Simulation –– equation of motionequation of motion

@ time = to, assume that the force will not change during the next ∆t period

2)(2/1)()()( ttattvtrttr oooo

@ time = to+ ∆t, based on the newly obtained atom positions, forces on all individual atoms are newly calculated. and, assume again that the forces will not change during the next ∆t period

2)(2/1)()()2( tttatttvttrttr oooo

General Aspects of Atomistic SimulationGeneral Aspects of Atomistic Simulation –– size of size of ΔΔtt

How large should be the ∆t ?

More than several tens of time steps should be spent during a vibration

∆t ≈10-15 sec. for most solid elements

|)(|),,,( 21 jiLJiji

N rrrrrVV

1 1 4 2 ( )x

General Aspects of Atomistic SimulationGeneral Aspects of Atomistic Simulation –– radial cutoff radial cutoff

General Aspects of Atomistic SimulationGeneral Aspects of Atomistic Simulation –– potential truncation potential truncation

1 1 4 2 ( )x

General Aspects of Atomistic SimulationGeneral Aspects of Atomistic Simulation –– Neighbor list Neighbor list

Cutoff radius

Neighbor List is updated whenever maximum atomic displacement > ½ skin

Example Example –– Potential & Force Table Potential & Force Table

do i=1,Ncomp eps(i,i) = epsilon(i) sig(i,i) = sigma(i) sig12(i,i) = sig(i,i)**12 sig6(i,i) = sig(i,i)**6 enddo

c cutoff potential Phicutoff = 4.d0*eps*(sig12/(Rcutoff**12) - sig6/(Rcutoff**6))cc Make a table for pair potential and its derivative between each pair RsqMin = Rmin**2 DeltaRsq = ( Rcutoff**2 - RsqMin ) / ( LineTable - 1 ) OverDeltaRsq = 1.d0 / DeltaRsqc do k=1,LineTable Rsq = RsqMin + (k-1) * DeltaRsq rm2 = 1.d0/Rsq rm6 = rm2*rm2*rm2 rm12 = rm6*rm6cc 4*eps* [s^12/r^12 - s^6/r^6] - phi(Rc) PhiTab(k,:,:) = 4.d0*eps * (sig12*rm12 - sig6*rm6) - phicutoffcc The following is dphi = -(1/r)(dV/dr) = 24*eps*[2s^12/r^12-s^6/r^6]/r^2 DPhiTab(k,:,:) = 24.d0*eps*rm2 * ( 2.d0*sig12*rm12 - sig6*rm6 ) enddo

Example Example –– Neighbor List Neighbor List RangeSq = Range*Range L = 1c

do i = 1,Natom Mark1(i) = L istart = i+1

do j = istart,Natom Sij = pos(:,i) - pos(:,j) where ( abs(Sij) > 0.5d0 .and. Ipbc.eq.1 ) Sij = Sij - sign(1.d0,Sij) end where

c go to real space units Rij = BoxSize*Sij Rsqij = dot_product(Rij,Rij) if ( Rsqij < RangeSq ) then List(L) = j L = L + 1 endif enddo

Mark2(i) = L - 1 enddo

|)(|),,,( 21 jiLJiji

N rrrrrVV

1 1 4 2 ( )x

General Aspects of Atomistic SimulationGeneral Aspects of Atomistic Simulation –– Periodic Boundary Condition Periodic Boundary Condition

do i=1,Natom read(2,*) PosAtomReal(i) pos(:,i) = PosAtomReal/BoxSizeenddo

-------------------------------------

Sij = pos(:,i) - pos(:,j)

where ( abs(Sij) > 0.5d0 .and. Ipbc.eq.1 )

Sij = Sij - sign(1.d0,Sij) end where

When PBC is applied, Rcutoff should be < than the half of sample dimension

• Kinetic Energy

iiB FrD

TkNPV1

• Pressure Virial equation

• Temperature

• Stress Tensor

i ijijijiii rFvvm

1332211 P

i ijijijii rFvm

General Aspects of Atomistic Simulation General Aspects of Atomistic Simulation –– Stress Tensor Stress Tensor

ErErrE p

pp )()(

i ijijijiii rFvvm

Equilibrium system @ 0K

ijij rr

Equilibrium system @ a finite temperature

EvEvvE kin

kinkin )()(

ikin vvmvvmE

Thermally induced stress kinTT EVE

T vvmV 1

)(!3!2

)()()()( 432 tOt

tattvtrttr

)(!3!2

)()()()( 432 tOt

tattvtrttr

trttrttv

The Verlet algorithm2)()()(2)( ttattrtrttr

tttrttrtv 2/)]()([)(

Integration Algorithm

Computing time and memoryNumerical error

StabilityEnergy/momentum conservation

Reversibility

Molecular Dynamics Molecular Dynamics – Time Integration of equations of motion– Time Integration of equations of motion

Leapfrog algorithm

tttvtrttr )2/()()(

ttattvttv )()2/()2/(

ttrtrttv

2)(2/1)()()2( tttatttvttrttr

2)(2/1)()()( ttattvttrtr

Velocity Verlet algorithm

2)(2/1)()()( ttattvtrttr

ttatvttv )(2/1)()2/(

))(()/1()( ttrVmtta

tttattvttv )(2/1)2/()(

Gear’s Predictor-corrector algorithm

Integration Algorithm

Computing time and memoryNumerical error

StabilityEnergy/momentum conservation

Reversibility

Molecular Dynamics Molecular Dynamics – Time Integration of equations of motion– Time Integration of equations of motion

2)()(2)()2( tttattrtrttr

Example Example –– Time integration of equations of motion Time integration of equations of motionc dr = r(t+dt) - r(t) and updating of Displacement deltaR = deltat*vel + 0.5d0*deltatsq*acc pos = pos + deltaR

c BoxSize rescale for constant P if(ConstantP) then BoxSize = BoxSize + deltat*VelBoxSize +.5d0*deltatsq*AccBoxSize Volume = product(BoxSize) Density = dble(Natom) / Volume deltaV = Volume - Vol_Old Recipro(1) = BoxSize(2) * BoxSize(3) Recipro(2) = BoxSize(3) * BoxSize(1) Recipro(3) = BoxSize(1) * BoxSize(2) VelBoxSize = VelBoxSize + 0.5d0*deltat*AccBoxSize endif

c velocity rescale for constant T -> v(t+dt/2) if(ConstantT .and. (temperature > 0) ) then chi = sqrt( Trequested / temperature ) vel = chi*vel + 0.5d0*deltat*acc else vel = vel + 0.5d0*deltat*acc endif c a(t+dt),ene_pot,Virial call Compute_EAM_Forces(Ipbc,f_stress)

c add Volume change term to Acc when ConstantP if(ConstantP) then do i=1,Natom acc(:,i) = acc(:,i) - 2.0d0 * vel(:,i) * VelBoxSize/BoxSize enddo endif

c v(t+dt) vel = vel + 0.5d0*deltat*acc

Molecular Dynamics Molecular Dynamics –– Running, measuring and analyzing Running, measuring and analyzing

1. Build-up : initial configuration and velocities

2. Speed-up : Radial cut-off and Neighbor list

3. Controlling the system · MD at constant Temperature · MD at constant Pressure · MD at constant Stress

4. Measuring and analyzing · Average values of physical quantities · Physical Interpretation from statistical mechanics

Molecular Dynamics Molecular Dynamics –– MD at constant temperature MD at constant temperature

iivmK TkNK B2

v(t+Δt/2) = sqrt (To/T) v(t) + ½ a(t)Δt

Scaling of velocities : To : Target value of temperature T : instantaneous temperature

Molecular Dynamics Molecular Dynamics – Lagrangian equation of motion– Lagrangian equation of motion

0)/()/( kk qLqLdt

VKqqL ),(

Vfrmiriii

q: generalized coordinates : time derivative of qK: Kinetic energyV: Potential energy

Molecular Dynamics Molecular Dynamics – MD at constant pressure– MD at constant pressure

Molecular Dynamics Molecular Dynamics – MD at constant stress– MD at constant stress

Molecular Dynamics Molecular Dynamics – MD at constant stress: – MD at constant stress: Parrinello and RahmanParrinello and Rahman

Analysis Analysis –– to confirm equilibrium to confirm equilibrium

Analysis Analysis –– to confirm maintenance of structure to confirm maintenance of structure

Example Example –– Computation of order parameter, Lambda Computation of order parameter, Lambda if(Lh_fun.and.mod(mdstep,Nsampl).eq.0 .and. mdstep.le.Nequi) then

Alambda = dcos(FourPi*pos(1,1)*xcell) & + dcos(FourPi*pos(2,1)*ycell) & + dcos(FourPi*pos(3,1)*zcell) Alam1 = 0.d0

do i=2,Natom Alambda = Alambda + dcos(FourPi*pos(1,i)*xcell) & + dcos(FourPi*pos(2,i)*ycell) & + dcos(FourPi*pos(3,i)*zcell)

Alam1 = Alam1 + dcos(FourPi*(pos(1,i)-pos(1,1))*xcell) & + dcos(FourPi*(pos(2,i)-pos(2,1))*ycell) & + dcos(FourPi*(pos(3,i)-pos(3,1))*zcell) enddo

Alambda = Alambda / dble(3*Natom) Alam1 = Alam1 / dble(3*Natom-3)endif

Analysis Analysis –– Identification of structure Identification of structure

Molecular Dynamics Molecular Dynamics – Analyzing: radial distribution function– Analyzing: radial distribution function

Partial RDFs of Cu50Zr50 during a rapid cooling

(a) Cu–Cu pair (b) Cu–Zr pair(c) Zr–Zr pair

Molecular Dynamics Molecular Dynamics – Analyzing: radial distribution function– Analyzing: radial distribution function

Molecular Dynamics Molecular Dynamics – Analyzing: angle distribution function– Analyzing: angle distribution function

Example Example –– Sampling data for g( r) and bond-angle distribution Sampling data for g( r) and bond-angle distribution do i = 1,Natom do j = istart,Natom Sij = pos(:,i) - pos(:,j) call Rij_Real(Rij,Sij) Rsqij = dot_product(Rij,Rij)

NShell = idint(sqrt(Rsqij)/delR + 0.5d0) Ngr(Nshell) = Ngr(Nshell) + 1c

if ( Rsqij < RmSq ) then do k = j+1,Natom Sik = pos(:,i) - pos(:,k) call Rij_Real(Rik,Sik) Rsqik = dot_product(Rik,Rik)

if ( Rsqik < RmSq ) then Num_Ang = Num_Ang + 1 costheta = dot_product(Rik,Rij) /dsqrt(Rsqij) /dsqrt(Rsqik) degr = 180.d0 * dacos(costheta) / pi NShell = idint(degr + 0.5d0) Nag(Nshell) = Nag(Nshell) + 1 endif enddo endif enddoenddo

Example Example –– Printing data for g( r) and bond-angle distribution Printing data for g( r) and bond-angle distribution

c print g(r) function values every Ng_fun's time step with normalizationc Ntotal = Num_Update * Natom totalN = dble(Num_Update * Natom) / 2.d0c do i=1,160 gr = 0.d0 if(Ngr(i) .gt. 0) then radius = delR * dble(i) vshell = FourPiDelR * radius * radius gr = dble(Ngr(i)) / (totalN * Density * vshell) write(9,'(1x,f8.3,i10,f13.6)') radius,Ngr(i),gr endif enddocc print bond-angle distribution c do i=1,180 if(Nag(i) .gt. 0) then gr = dble(Nag(i)) / dble(Num_Ang) write(9,'(1x,i8,f16.4)') i,gr endif enddo

Molecular Dynamics Molecular Dynamics – Analyzing: local– Analyzing: local atomistic structureatomistic structure

Analysis Analysis –– Identification of structure Identification of structure

Molecular Dynamics Molecular Dynamics – Computing Physical Properties– Computing Physical Properties

1. Bulk Modulus & Elastic Constants

2. Surface Energy, Grain Boundary Energy & Interfacial Energy

3. Point Defects Properties · Vacancy Formation Energy · Vacancy Migration Energy · Interstitial Formation Energy · Binding Energy between Defects

4. Structural Properties

5. Thermal Properties · Thermal Expansion Coefficients · Specific Heat · Melting Point · Enthalpy of melting, …

Computing Physical PropertiesComputing Physical Properties – Elasticity Tensor – Elasticity TensorMost general linear relationship between stress tensor and strain tensor components

klijklij C 81 constants

jilkijlkjiklijkl CCCC 36 constants

klijijkl CC 21 constants for the most general case of anisotropy

Further reduction of the number of independent constants can be made by rotating the axis system,but the final number depends on the crystal symmetry .

Short-hand matrix notation: tensor 11 22 33 23 31 12 matrix 1 2 3 4 5 6 examples C1111 = C11, C1122 = C12, C2332 = C44

for Isotropic Crystals

for Cubic Crystals

for Hexagonal Crystals C11(= C22), C12, C13(= C23), C33, C44(= C55), C66, (= (C11- C12)/2)

)( jkiljlikklijijklC 12C 44C

ijkljkiljlikklijijkl CCCCCC )2()( 4412114412

Computing Physical PropertiesComputing Physical Properties – Elastic Moduli – Elastic Moduli

Change of the potential energy and total volume upon application of the strain

In practical calculations the evaluation of the elastic moduli is done by applying suitable small strains to the block of atoms, relaxing, and evaluating the total energy as a function of the applied strain. In this calculation the internal relaxations are automatically included.

The elastic moduli are then obtained by approximating the numerically calculated energy vs. strain dependence by a second or higher order polynomial and taking the appropriate second derivatives with respect to the strain.

Computing Physical PropertiesComputing Physical Properties – Bulk Moduli – Bulk Moduli

epsilon = 1.0d-03 fac = 1.6023d+00 / epsilon / epsilon Volume = product(BoxSize) AV = Volume / dble(NAtom)cc B : increase BoxSize() by a factor of +- epsilon c BoxSize = Old_BoxSize * (1.d0 + epsilon) call Compute_EAM_Energy(Ipbc,ene_sum,0) ene_ave_p1 = ene_sum / dble(Natom)c BoxSize = Old_BoxSize * (1.d0 - epsilon) call Compute_EAM_Energy(Ipbc,ene_sum,0) ene_ave_m1 = ene_sum / dble(Natom)c B0 = fac * (ene_ave_p1 + ene_ave_m1 - 2.d0*ene_ave_0) / AV / 9.d0 write(*,*) ' B = ', B0, ' (10^12 dyne/cm^2 or 100Gpa)'

Elastic Constant

x → y → z → K

B x(1+ε) y(1+ε) z(1+ε) 9

C11 x(1+ε) y z 1

Ca x+εy y+εx z 4

Cb x+εz y z+εx 4

Cc x(1+ε) y(1+ε) z(1-ε) 3

Elastic Constant

x → y → z → K

C11 x(1+ε) y z 1

γ’ x(1+ε) y(1-ε) z 4

γ x+εy y+εx z 4

2' 1211 CC

for Cubic for HCPfor Cubic for HCP

{E( ) – [E( )+E( )]}

Computing Physical PropertiesComputing Physical Properties – Ni – Ni33Al/Ni Interfacial EnergyAl/Ni Interfacial Energy

Computing Physical PropertiesComputing Physical Properties – Grain Boundary Energy – Grain Boundary Energy

Computing Physical PropertiesComputing Physical Properties – Melting Point (Interface method) – Melting Point (Interface method)

1. Prepare two samples, one is crystalline and the other is liquid2. Estimate the melting point3. Perform an NPT MD run for solid at the estimated MP, and determine

sample dimensions (apply 3D PBC)4. Perform an NPT MD run for liquid, keeping the same sample

dimensions in y and z directions with the solid5. Put together the two samples in the x direction6. Perform NVT MD runs at various sample size in the x direction, then

perform NVE MD runs

※ Partial melting or solidification and change of temperature will occur depending on the estimated mp. in comparison with real mp.

The equilibrium temperature between solid and liquid phases at zero external pressure is the melting point of the material

※ If full melting or solidification occurs the step 2-6 should be repeated with newly estimated melting point

Byeong-Joo Lee Atomistic Simulations Byeong-Joo Lee Dept. of MSE Pohang University of Science and...

Documents

A Low-Power Handheld GPU using Logarithmic Arithmetic and Triple DVFS Power Domains Byeong-Gyu Nam, Jeabin Lee, Kwanho Kim, Seung Jin Lee, and Hoi-Jun

Lee Hyo Jin 2001 Fall Mobile Networks 발표자료 Nov/28/2001 Prof. Young-Joo Suh

Can’t fight moonlight. 2007036392 Jung Joo Yong 2007036723 Lee Yeon Ho 2007037522 No Yeong Seuk 2007036370 Lee Hyung Jin 2005038091 Lee Byung Joo

Youngsun Lee1,2†, Yoori Choi 1†*, Eun-Joo Park3,4 ...Jan 24, 2020 · † Youngsun Lee, Yoori Choi and Eun-Joo Park contributed equally to this investigation. available under

ByeongByeong--Joo Lee Joo Lee - cmse.postech.ac.kr · Second Law of thermodynamics --Entropy as aCriterion of Equilibrium※for an isolated system of constant U and constant V, (adiabatically

Optimizing Web pages Hyun Joo LEE LIS 385 T: Information Architecture and Design March 27, 2003

Lee, Yong-joo

1 April 2, 2009 Byeong-Yup,Lee Director of Technical Cooperation Division

Keynote #3 when policy meets design by jung joo lee

ByeongByeong--Joo Lee Joo Lee - Postech CMSE Lab. · ByeongByeong--Joo Lee Joo Lee POSTECH POSTECH ... Rough Estimation of Solid Surface Energy ... ∆Gi = G − G − G − G + ∆

Joo-young Lee - COM-FORT Labcomfortlab.snu.ac.kr/upload/Lee_JY_CV_2014_Sep.pdf · · 2014-10-07Joo-Young Lee 2014 1 1. ... Ethnic comparison of heat acclimatization between tropical

Byeong-Joo Lee cmse.postech.ac.kr Byeong-Joo Lee POSTECH - MSE calphad@postech.ac.kr Interfaces & Microstructure

ByeongByeong--Joo Lee Joo Lee · 부품소재산업동향 Byeong-Joo Lee calphad

Med-1 Protontherapy and microdosimetry with the Geant4 toolkit Se Byeong Lee – National Cancer Center, Goyan, Korea Sébastien Incerti – IN2P3/CENBG, France

Byeong-Joo Lee Multi-component Homogeneous System: Solution Thermodynamics Byeong-Joo Lee POSTECH - MSE calphad@postech.ac.kr

Copyright by Han-Joo Lee 2009

5 th ICMCSDong-Kyou Lee Seoul National University Dong-Kyou Lee, Hyun-Ha Lee, Jo-Han Lee, Joo-Wan Kim Radar Data Assimilation in the Simulation of Mesoscale

Byeong-Joo Lee calphad 이 병 주 포항공과대학교 신소재공학과 calphad@postech.ac.kr

Byeong-Joo Lee cmse.postech.ac.kr. Byeong-Joo Lee cmse.postech.ac.kr Scope Fundamentals 1.Free Surfaces vs. Grain Boundaries vs. Interphase Interfaces

Byeong-Joo Lee calphad Computational Thermodynamics Byeong-Joo Lee Computational Materials Science & Engineering Lab. Pohang University