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  1. Research Outputs

Mechanical Constraints in Molecular Dynamics Simulation

Chapter
Publication Date:
2023
Short description:
Mechanical Constraints in Molecular Dynamics Simulation / Ciccotti, G., Ferrario, M., Kapral, R. - In: Comprehensive Computational Chemistry, First Edition: Volume 1-4[s.l] : Elsevier, 2023. - ISBN 9780128232569. - pp. 345-359 [10.1016/B978-0-12-821978-2.00093-3]
abstract:
Advances in computational power and algorithm development have stimulated molecular dynamics research on diverse large and complicated physical systems. Part of this progress relies on algorithms that are able to account for widely separated time scales or activated processes that would otherwise degrade computational efficiency. This chapter describes how holonomic constraints can be used to overcome such difficulties. The constrained dynamical equations, the statistical mechanics that follows from these equations, and the algorithms needed to simulate the dynamics are presented. Examples related to rare event sampling and adiabatic dynamics are given to illustrate the methods.
Iris type:
Capitolo/Saggio
Keywords:
Adiabatic separation; Blue Moon sampling; Computational Statistical Mechanics; Conditional averages; Constrained averages; Lagrange multipliers; Liouville equation; Mass–zero constraints; Mechanical constraints; Molecular Dynamics simulation; Non-Hamiltonian dynamics; Onsager–Kubo result; Phase space compressibility; Potential of mean force; Rare events; Reaction rate; Shake; Velocity–Verlet
List of contributors:
Ciccotti, G.; Ferrario, M.; Kapral, R.
Authors of the University:
FERRARIO Mauro
Handle:
https://iris.unimore.it/handle/11380/1347227
Book title:
Comprehensive Computational Chemistry, First Edition: Volume 1-4
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