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Theoretical Chemistry Accounts
Article . 2021 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
https://doi.org/10.22541/au.16...
Article . 2021 . Peer-reviewed
Data sources: Crossref
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Investigating an Efficient and Accurate Protocol for Sampling Structures from Molecular Dynamics Simulations: A Close Look by Different Wavelet Families

Authors: Mateus A. Gonçalves; Arismar M. G. Júnior; Elaine F. F. da Cunha; Teodorico C. Ramalho;

Investigating an Efficient and Accurate Protocol for Sampling Structures from Molecular Dynamics Simulations: A Close Look by Different Wavelet Families

Abstract

Molecular Dynamics (MD) simulations are widely used to predict the behavior of molecular systems over time. However, one of the great challenges of MD simulations is how to treat the thousands of configurations obtained from calculations, since the number of the quantum calculations (QM) required for evaluating electronic parameters is too high and, sometimes, computationally impracticable. Thus, an efficient and accurate sampling protocol is essential for combining classical MD and QM calculations. In this article, based on the OWSCA methodology, 93 wavelet signals were analyzed in order to further refine the methodology and identify the best wavelet family for [Fe(H2O)6]2+ and [Mn(H2O)6]2+ complexes in solution. Our results point out that the bior1.3 was the best wavelet, values closest to the experimental data were obtained for both studied systems.

Keywords

Computational chemistry, Wavelet decomposition, Optimal wavelet signal compression algorithm (OWSCA), Theoretical calculations, Molecular dynamics, OWSCA method

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
bronze