Alexiadis, Alessio (2024) Research code supporting the publication “Designing a set of criteria for evaluating Artificial Neural Networks trained with physics-based data to replicate Molecular Dynamics and other particle methods trajectories”.
Dataset Details
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| Research Data Type: | Software | ||||||
| DOI: | https://doi.org/10.25500/edata.bham.00001049 | ||||||
| Publisher: | University of Birmingham | ||||||
| Keywords: | Physics-Informed Machine Learning, pytorch. | ||||||
| Managing organisational unit: | Colleges (2008 onwards) > College of Engineering & Physical Sciences | ||||||
| UoB School, Department or Institute: | School of Chemical Engineering | ||||||
| Date: | 23 January 2024 |
orcid.org/0000-0001-9240-3517
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- Research code supporting the publication “Designing a set of criteria for evaluating Artificial Neural Networks trained with physics-based data to replicate Molecular Dynamics and other particle methods trajectories”. (deposited 23 Jan 2024 14:44) [Currently Displayed]
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