Abstract
Multiscale techniques are becoming increasingly important for molecular simulation as a result of interest in increasingly complex problems involving events occurring over multiple time and length scales. Here, inspired by the success of the multiscale quantum mechanics/molecular mechanics (QM/MM) methods, we introduce a hybrid, adaptive resolution, multiscale molecular dynamics method that combines accurate, atomistic, modeling of key regions of the system with a coarse-grained modeling of the remainder of the system. Hybrid multiscale methods must solve the interfacial hand-shaking problem of coupling together different levels of description in different spatial regions of the system; in addition, to implement an adaptive resolution algorithm to correctly model diffusive systems, one must have a procedure in place to dynamically change the representation of a molecule, either from a finer to a coarser level or vice versa. We propose a solution to these problems through a detailed energy analysis and the use of a rotational dynamics to align molecular fragments. The algorithms we propose significantly advance the state-of-the-art and should serve to spur significant advances in our ability to model complex chemical systems.
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Acknowledgements
We are very grateful to Preston B. Moore, Peter G. Bolhuis, Michael L. Klein and Michele Parrinello for helpful discussions.
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Ensing, B., Nielsen, S.O. (2010). Multiscale Molecular Dynamics and the Reverse Mapping Problem. In: Dumitrica, T. (eds) Trends in Computational Nanomechanics. Challenges and Advances in Computational Chemistry and Physics, vol 9. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-9785-0_2
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