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A hierarchical Bayesian framework for force field selection in molecular dynamics simulations

Research article (Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, 2015) · cited 45× · AI/ML
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A hierarchical Bayesian framework for force field selection in molecular dynamics simulations

Summary

A hierarchical Bayesian framework for force field selection in molecular dynamics simulations is a scholarly article[1].

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  • A hierarchical Bayesian framework for force field selection in molecular dynamics simulations's instance of is recorded as scholarly article[2].

Related Entities

Petros Koumoutsakos

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A hierarchical Bayesian framework for force field selection in molecular dynamics simulations. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-hierarchical-bayesian-framework-for-force-field-selection-in-molecular-dynamics-simulations
MLA “A hierarchical Bayesian framework for force field selection in molecular dynamics simulations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-hierarchical-bayesian-framework-for-force-field-selection-in-molecular-dynamics-simulations.
BibTeX @misc{4ortxyz_a-hierarchical-bayesian-framework-for-force-field-selection-in-molecular-dynamics-simulations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A hierarchical Bayesian framework for force field selection in molecular dynamics simulations}}, year = {2026}, url = {https://4ort.xyz/entity/a-hierarchical-bayesian-framework-for-force-field-selection-in-molecular-dynamics-simulations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A hierarchical Bayesian framework for force field selection in molecular dynamics simulations — https://4ort.xyz/entity/a-hierarchical-bayesian-framework-for-force-field-selection-in-molecular-dynamics-simulations (retrieved 2026-05-24)

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