Literature DB >> 30075070

Anomalous Effects of Velocity Rescaling Algorithms: The Flying Ice Cube Effect Revisited.

Efrem Braun1, Seyed Mohamad Moosavi2, Berend Smit1,2.   

Abstract

The flying ice cube effect is a molecular dynamics simulation artifact in which the use of velocity rescaling thermostats sometimes causes violation of the equipartition theorem, affecting both structural and dynamic properties. The reason for this artifact and the conditions under which it occurs have not been fully understood. Since the flying ice cube effect was first demonstrated, a new velocity rescaling algorithm (the CSVR thermostat) has been developed and become popular without its effects on the equipartition theorem being truly known. Meanwhile, the use of simple velocity rescaling and Berendsen (weak coupling) thermostat algorithms has not abated but has actually continued to grow. Here, we have calculated the partitioning of the kinetic energy between translational, rotational, and vibrational modes in simulations of diatomic molecules to explicitly determine whether the equipartition theorem is violated under different thermostats and while rescaling velocities to different kinetic energy distributions. We have found that the underlying cause of the flying ice cube effect is a violation of balance leading to systematic redistributions of kinetic energy under simple velocity rescaling and the Berendsen thermostat. When velocities are instead rescaled to the canonical ensemble's kinetic energy distribution, as is done with the CSVR thermostat, the equipartition theorem is not violated, and we show that the CSVR thermostat satisfies detailed balance. The critical necessity for molecular dynamics practitioners to abandon the use of popular yet incorrect velocity rescaling algorithms is underscored with an example demonstrating that the main result of a highly cited study is entirely due to artifacts resulting from the study's use of the Berendsen thermostat.

Year:  2018        PMID: 30075070     DOI: 10.1021/acs.jctc.8b00446

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  12 in total

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2.  Molecular dynamics simulations of structure and dynamics in aqueous solution of neutral and ionized derivatives of poly(F): methyl, n-propyl, and isopropyl substitutions.

Authors:  Sushil Pachpinde; M HamsaPriya; Upendra Natarajan
Journal:  J Mol Model       Date:  2022-05-14       Impact factor: 1.810

3.  Computational Tools for Accurate Binding Free-Energy Prediction.

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4.  Zeolite-confined subnanometric PtSn mimicking mortise-and-tenon joinery for catalytic propane dehydrogenation.

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Journal:  Nat Commun       Date:  2022-05-17       Impact factor: 17.694

5.  Best Practices for Foundations in Molecular Simulations [Article v1.0].

Authors:  Efrem Braun; Justin Gilmer; Heather B Mayes; David L Mobley; Jacob I Monroe; Samarjeet Prasad; Daniel M Zuckerman
Journal:  Living J Comput Mol Sci       Date:  2018-11-29

6.  In Silico Prediction of the Binding, Folding, Insertion, and Overall Stability of Membrane-Active Peptides.

Authors:  Nicolas Frazee; Violeta Burns; Chitrak Gupta; Blake Mertz
Journal:  Methods Mol Biol       Date:  2021

7.  A QM/MM Derived Polarizable Water Model for Molecular Simulation.

Authors:  Koen M Visscher; William C Swope; Daan P Geerke
Journal:  Molecules       Date:  2018-11-29       Impact factor: 4.411

8.  Addressing Dynamics at Catalytic Heterogeneous Interfaces with DFT-MD: Anomalous Temperature Distributions from Commonly Used Thermostats.

Authors:  Ville Korpelin; Toni Kiljunen; Marko M Melander; Miguel A Caro; Henrik H Kristoffersen; Nisha Mammen; Vesa Apaja; Karoliina Honkala
Journal:  J Phys Chem Lett       Date:  2022-03-17       Impact factor: 6.475

9.  Out of Sight, Out of Mind: The Effect of the Equilibration Protocol on the Structural Ensembles of Charged Glycolipid Bilayers.

Authors:  Andresa Messias; Denys E S Santos; Frederico J S Pontes; Filipe S Lima; Thereza A Soares
Journal:  Molecules       Date:  2020-11-04       Impact factor: 4.411

10.  Design and Prototyping of Genetically Encoded Arsenic Biosensors Based on Transcriptional Regulator AfArsR.

Authors:  Salma Saeed Khan; Yi Shen; Muhammad Qaiser Fatmi; Robert E Campbell; Habib Bokhari
Journal:  Biomolecules       Date:  2021-08-26
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