Chapter 9: Molecular-dynamics Integrate equations of motion-- classical! Discrete form of Newton’s second law Forces from interaction potential For a simple.

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Presentation transcript:

Chapter 9: Molecular-dynamics Integrate equations of motion-- classical! Discrete form of Newton’s second law Forces from interaction potential For a simple pair potential, we get

Integrating equations of motion This works out to give the Verlet algorithm,

Lennard-Jones potential for noble gas

Placing atoms on fcc lattice… non-primitive basis ! start with non-primitive fcc basis r1(1)=0.0d0 r2(1)=0.0d0 r3(1)=0.0d0 r1(2)=0.5d0 r2(2)=0.5d0 r3(2)=0.0d0 r1(3)=0.5d0 r2(3)=0.0d0 r3(3)=0.5d0 r1(4)=0.0d0 r2(4)=0.5d0 r3(4)=0.5d0

Some parameters for lattice… INTEGER, PARAMETER :: nn=10 INTEGER, PARAMETER :: Prec14=SELECTED_REAL_KIND(14) INTEGER, PARAMETER :: natoms=4*nn**3 INTEGER, PARAMETER :: nx=nn,ny=nn,nz=nn REAL(KIND=Prec14), PARAMETER :: sigma=1.0d0,epsilon=1.0d0 REAL(KIND=Prec14), PARAMETER :: L=sigma*2.0d0**(2.0d0/3.0d0)*nn

Generate the full lattice n=0 do ix=1,nx do iy=1,ny do iz=1,nz do i=1,4 n=n+1 rx(n)=(r1(i)+dble(ix-1))*sigma ry(n)=(r2(i)+dble(iy-1))*sigma rz(n)=(r3(i)+dble(iz-1))*sigma enddo ! scale lengths by box size rx=rx/nx ry=ry/ny rz=rz/nz

! Compute potential and force at cutoff sovr=sigma/rcut vcut=4.0d0*epsilon*(sovr**12-sovr**6) fcut=(24.0d0*epsilon/rcut)*(2.0d0*sovr**12-sovr**6) Some preliminaries…

! Initialize velocities by picking last position call RANDOM_SEED do n=1,natoms call RANDOM_NUMBER(ranx) call RANDOM_NUMBER(rany) call RANDOM_NUMBER(ranz) rxl(n)=rx(n)+v0*(0.5d0-ranx) ryl(n)=ry(n)+v0*(0.5d0-rany) rzl(n)=rz(n)+v0*(0.5d0-ranz) enddo Initialize velocities using random-number generator Must adjust everything to give zero net momentum…

do i=1,natoms-1 do j=i+1,natoms sxij=rx(i)-rx(j) syij=ry(i)-ry(j) szij=rz(i)-rz(j) sxij=sxij-dble(anint(sxij)) syij=syij-dble(anint(syij)) szij=szij-dble(anint(szij)) rij=L*dsqrt(sxij**2+syij**2+szij**2) if(rij.lt.rcut) then sovr=sigma/rij epot=epot+4.0d0*epsilon*(sovr**12-sovr**6)-vcut+fcut*(rij-rcut) fij=-(24.0d0*epsilon/rij)*(2.0d0*sovr**12-sovr**6)+fcut get x,y,z components of force, use Newton’s 3rd law… Implementing periodic boundary conditions: Computing forces and potential energy…

! Verlet algorithm to move atoms, compute kinetic energy do i=1,natoms rxx=2.0d0*rx(i)-rxl(i)+fx(i)*dt**2/(amass*L) ryy=2.0d0*ry(i)-ryl(i)+fy(i)*dt**2/(amass*L) rzz=2.0d0*rz(i)-rzl(i)+fz(i)*dt**2/(amass*L) vx=(rxx-rxl(i))*L/(2.0d0*dt) vy=(ryy-ryl(i))*L/(2.0d0*dt) vz=(rzz-rzl(i))*L/(2.0d0*dt) vsq=vx**2+vy**2+vz**2 ekin=ekin+0.5d0*amass*vsq rxl(i)=rx(i) ryl(i)=ry(i) rzl(i)=rz(i) rx(i)=rxx ry(i)=ryy rz(i)=rzz enddo Advance atoms, compute kinetic energy….

ekin=ekin/natoms; epot= epot/natoms; etot=epot+ekin time=time+tunit*dt temp=(2.0d0/3.0d0)*eps*ekin write(6,100) n,time,ekin,epot,etot,temp enddo 100 format(i8,f12.2,4f18.6) Output including time and temperature eps=120 for Argon potential…. energy scale Ekin,epot, temp will fluctuate… etot should be fairly Stable if small enough time step used…

Heat capacity Angle brackets thermal average In MD, thermal averages done by time average Heat capacity given by fluctuations in total energy The computed epot and temperature can be used to determine heat capacity (output in units of k B )

Radial distribution function  is the density N/   Dirac-delta defined numerically (not infinitely sharp) In an ideal gas, g(r) =1 In a liquid, g(r) =1 at long ranges, short range structure In a crystal, g( r) has sharp peaks, long-range order