Dynamical correlations & transport coefficients

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Presentation transcript:

Dynamical correlations & transport coefficients Dynamics is why we do molecular dynamics! Perturbation theory Linear-response theory. Diffusion constants, velocity-velocity auto correlation fct. Transport coefficients Diffusion: Particle flux Viscosity: Stress tensor Heat transport: energy current Electrical Conductivity: electrical current

Static Perturbation theory Consider a perturbation by λA(R). Change is distribution is: Expand in powers of λ: F(λ) = F(0)+ βλ<A>0 –βλ2[<A2>0 –<A>02 ]/2 + … For a property B(R): B(λ) = B(0) – βλ [<AB>0 –<A>0 <B>0 ] + … Example let A=B=ρk , then: The structure factors gives the static response to a “density field” as measured by neutron and X-ray scattering (applied nuclear or electric field).

Dynamical Correlation Functions If system is ergodic, ensemble average <…> equals time average and we can average over t0. Decorrelation at large times: Autocorrelation function B=A*. Fourier transform:

Dynamical Properties Fluctuation-Dissipation theorem: We calculate the lhs average in equilibrium (no external perturbation). [A e-iwt ] is a perturbation and [χ (w) e-iwt] is the response of B. Fluctuations we “see” in equilibrium are equivalent to how a non-equilibrium system approaches equilibrium. (Onsager regression hypothesis; 1930 Nobel prize) Density-Density response function is S(k,w). It can be measured by scattering and is sensitive to collective motions.

Linear Response in quantum mechanics Reduces to classical formula when h=0

Transport coefficients Define as the response of the system to some dynamical or long-term perturbation, e.g., velocity-velocity Take zero frequency limit: Kubo form: integral of time (auto-) correlation function. perturbation response

Transport Coefficients: examples Diffusion: Particle flux Viscosity: Stress tensor Heat transport: energy current Electrical Conductivity: electrical current J(t)=total electric current These can also be evaluated with non-equilibrium simulations. Impose a shear, heat or current flow Initial difference in particle numbers Need to use thermostats to have a steady-state simulation, otherwise energy (temperature) is not constant.

Diffusion Constant Defined by Fick’s law and controls how systems mix Linear response + Conservation of mass Einstein relation (no PBC!) Kubo formula Use “unwound” positions to get equivalence between the 2 forms.

Consider a mixture of identical particles Initial condition Later

Simulations Have Changed Perceptions Alder-Wainwright discovered long-time tails on the velocity autocorrelation function. The diffusion constant does not exist in 2D because of hydrodynamic effects. Results from computer simulation have changed our picture of a liquid. Several types of motion are allowed. Train effect - one particle pulls other particle along behind it. Vortex effect - at very long time one needs to solve using hydrodynamics--this dominates the long-time behavior. Hard sphere interactions are able to model this aspect of a liquid.

Density-Density response: a sound wave Measured by scattering and is sensitive to collective motions. Suppose we have a sound wave: Peaks in S(k,w) at q and -q. Damping of sound wave broadens the peaks. Inelastic neutron scattering measures microscopic collective modes.

Dynamical Structure Factor S(k) for Hard Spheres For V0=Nd3/√2, HS fluid for V/V0 = 1.6, kd=0.38 V/V0 = 1.6, kd=2.28 V/V0 = 3.0, kd=0.44 V/V0 = 10, kd=0.41 Freq. = kd/τ, τ = mean collision time Points: MD (Alley et al., 1983) Lines: Enskog theory

Some experimental data from neutron scattering Water liquid 3 helium