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Communication: Adaptive boundaries in multiscale simulations
Combined-resolution simulations are an effective way to study molecular properties across a range of length and time scales. These simulations can benefit from adaptive boundaries that allow the high-resolution region to adapt (change size and/or shape) as the simulation progresses. The number of de...
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Published in: | The Journal of chemical physics 2018-04, Vol.148 (14), p.141104-141104 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Combined-resolution simulations are an effective way to study molecular properties across
a range of length and time scales. These simulations can benefit from adaptive boundaries
that allow the high-resolution region to adapt (change size and/or shape) as the
simulation progresses. The number of degrees of freedom required to accurately represent
even a simple molecular process can vary by several orders of magnitude throughout the
course of a simulation, and adaptive boundaries react to these changes to include an
appropriate but not excessive amount of detail. Here, we derive the Hamiltonian and
distribution function for such a molecular simulation. We also design an algorithm that
can efficiently sample the boundary as a new coordinate of the system. We apply this
framework to a mixed explicit/continuum simulation of a peptide in solvent. We use this
example to discuss the conditions necessary for a successful implementation of adaptive
boundaries that is both efficient and accurate in reproducing molecular properties. |
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ISSN: | 0021-9606 1089-7690 |
DOI: | 10.1063/1.5025826 |