Gsd. Ayton et al., Interfacing molecular dynamics with continuum dynamics in computer simulation: Toward an application to biological membranes, IBM J RES, 45(3-4), 2001, pp. 417-426
A clear challenge in the field of computer simulation of biological systems
is to develop a simulation methodology that incorporates the vast temporal
and spatial scales observed in living systems. At present, simulation capa
bilities generally operate in either microscopic or macroscopic regimes. Mi
croscopic molecular dynamics simulations can examine systems up to the orde
r of 100000 atoms on time scales of the order of nanoseconds. This is still
orders of magnitude below the scales required to model complete biological
structures such as a living cell. Continuum-based simulations, frequently
employed in mechanical engineering problems, can model complete biological
assemblies but do not contain any explicit molecular information. To fully
capture the intricate interplay between microscopic processes and macroscop
ic events, a method of "information transfer" between these two disparate t
ime and length scales is required. We present a new simulation methodology
based on fundamental aspects of statistical and continuum mechanics that al
lows microscopic fluctuations to propagate to macroscopic scales and vice v
ersa. A feedback mechanism is developed in which microscopic-level molecula
r dynamics simulations are coupled to corresponding macro-scale continuum-l
evel simulations. The techniques of non-equilibrium molecular dynamics are
used to create the micro-to-macro interface, where transport coefficients t
hat are required input at the continuum level are calculated from detailed
microscopic models. We present results for a model membrane in which the ma
terial is modeled at both spatial and temporal levels. The effect of non-el
astic perturbations at the molecular level on macroscopic material properti
es is examined as a demonstration of the viability of the technique.