classical molecular dynamics
DESCRIPTION
Classical Molecular Dynamics. CEC, Inha University Chi-Ok Hwang. Perspectives. Many-electron problem; many electrons moving in a potential field - considering the nuclei as being fixed; Born-Oppenheimer approximation - PowerPoint PPT PresentationTRANSCRIPT
Classical Molecular Dynamics
CEC, Inha UniversityChi-Ok Hwang
Perspectives
• Many-electron problem; many electrons moving in a potential field
- considering the nuclei as being fixed; Born-Oppenheimer approximation
- Hartree-Fock method; a variational method, a kind of mean-field approach in statistical mechanics
Perspectives
• Density functional theory - the electronic orbitals are solutions to a Sc
hrödinger equation which depends on the electron density rather than on the indivisual electron orbitals
- the dependence of the one-particle Hamiltonian on this density is in principle nonlocal (cf. local density approximation (LDA))
Perspectives
• Empirical methods - classical molecular dynamics - tight-binding methods; a linear combination of a
tomic orbitals (LCAO) type• First-principles methods - tight-binding methods - density-functional theory - exact methods; quantum MC
Molecular Dynamics: General
• Solving classical equations of motion for a system of N molecules interacting via a potential V
V ≈ Σ V1(ri) + Σ Σ Veff2(rij)
• Lennard-Jones 12-6 potential V IJ(r)= 4ε ((σ/r)12-(σ/r)6)
Molecular Dynamics: General
• Algorithms 1: Verlet algorithm r(t+δt)=r(t) + δtv(t)+1/2 (δt)2 a(t) (1) r(t-δt)=r(t) - δtv(t)+1/2 (δt)2 a(t) (2) from the above two equations, we get r(t+δt)= 2r(t) - r(t-δt) + (δt)2 a(t) v(t) = (r(t+δt) - r(t-δt))/(2δt)
Molecular Dynamics: General
• Algorithms 2: Leap-Frog algorithm r(t+δt)=r(t) + δt v(t+δt/2) v(t+δt/2) = v(t-δt/2) + δt a(t); update first• Algorithms 3: Velocity Verlet algorithm r(t+δt)= r(t) + δt v(t) + (δt)2/2 a(t) v(t+δt) = v(t) + δt (a(t) + a(t+δt))/2
Molecular Dynamics: General
• Periodic boundary conditions 1) for( i=1;i <= Cell_N_x; i++){ Cell_P[i] = i+1; Cell_M[i] = i-1; } Cell_P[Cell_N_x] = 1; Cell_M[1] = Cell_N_x; 2) while( (*xnew) < 0 ){ *xnew = *xnew + Sx; }
Molecular Dynamics: General
• Potential truncation• Cell method: linked list and non-
overlapping nearby cell sweeping• Thermodynamic quantities - kinetic temperature
N
iii tvm
dNN
tK
dtkT
tKtkTd
N
1
2 )(1)(2
)(
)()(2
Molecular Dynamics: General
- pressure
jiijij
jiijij
ideal
tFtrdNkTNkT
PV
tFtrdV
tkTV
NtP
tkTV
NP
))()((1
1
)()(1
)()(
)(
Molecular Dynamics: General
• Mean square displacement: Einstein relation
22
2
)(
6)(
natR
DttR
a: step size
n: mean number of steps
Molecular Dynamics: General
• First-passage time probability
D
Rdtt
Ptt
r
tDmrtP
m
m
6
)exp()1(21);(
2
0
2
22
1
Molecular Dynamics: General
• radial distribution function g(r)
• Green-Kubo relation
i ij
ijrrN
Vrg )()(
2
0
)()0(3
1tvvdtD