2020
DOI: 10.1080/00268976.2020.1742938
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Towards molecular simulations that are transparent, reproducible, usable by others, and extensible (TRUE)

Abstract: Systems composed of soft matter (e.g., liquids, polymers, foams, gels, colloids, and most biological materials) are ubiquitous in science and engineering, but molecular simulations of such systems pose particular computational challenges, requiring time and/or ensemble-averaged data to be collected over long simulation trajectories for property evaluation. Performing a molecular simulation of a soft matter system involves multiple steps, which have traditionally been performed by researchers in a "bespoke" fas… Show more

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Cited by 33 publications
(34 citation statements)
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“…This study by Jadhao and Robbins [24] was a significant breakthrough and was highlighted as a key study in our 2018 reviews on both SATA [27] and NEMD simulations [6] in tribology. Moreover, the authors made their large atomic/ molecular massively parallel simulator (LAMMPS) [28] input files publically available in the Supporting Information, ensuring that their results were transparent, reproducible, usable by others, and extensible (TRUE) [29].…”
Section: Shear Thinningmentioning
confidence: 99%
“…This study by Jadhao and Robbins [24] was a significant breakthrough and was highlighted as a key study in our 2018 reviews on both SATA [27] and NEMD simulations [6] in tribology. Moreover, the authors made their large atomic/ molecular massively parallel simulator (LAMMPS) [28] input files publically available in the Supporting Information, ensuring that their results were transparent, reproducible, usable by others, and extensible (TRUE) [29].…”
Section: Shear Thinningmentioning
confidence: 99%
“…Moreover, the SI contains all the instructions needed for the reader to download and run all the utilities and codes needed to reproduce the reported calculations exactly, hence qualifying these as TRUE simulations. 24…”
Section: Computational Screening and Automation Using Mosdefmentioning
confidence: 99%
“…That is, MoSDeF tools enable the initialization, simulation, and analysis workflows of entire scientific studies to be defined in Python scripts. Performing a simulation using MoSDeF, combined with dissemination of simulation scripts on a service such as Github, enables a molecular simulation to be published as a TRUE (transparent, reproducible, usable by others, and extensible) simulation 24 …”
Section: Molecular Simulation Design Frameworkmentioning
confidence: 99%
“…This also allows the framework to be more easily modified, tested, extended, and have fewer bugs than a monolithic approach. Performing a simulation using MoSDeF, combined with dissemination of simulation scripts on a service such as Github, enables a molecular simulation to be published as a TRUE (t ransparent,r eproducible, u sable by others, and e xtensible) simulation 33 .…”
Section: Molecular Simulation Design Framework (Mosdef)mentioning
confidence: 99%
“…Moreover, the SI contains all the instructions needed for the reader to download and run all the utilities and codes needed to reproduce the reported calculations exactly, hence qualifying these as TRUE simulations. 33…”
Section: Expanding Mosdefmentioning
confidence: 99%