Data · dataset · 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”
Listed in UBIRA eData
Supplementary material for the manuscript 'Designing a set of criteria for evaluating Artificial Neural Networks trained with physics-based data to replicate Molecular Dynamics and other particle methods trajectories.' by Alessio Alexiadis.
Description
It contains four Jupyter notebooks used to carry out the calculations in the manuscript. They require pytorch.
A README file is provided in the contents of the folder with details on the code use and Creative Commons license.
Links
Where it is published
- UBIRA eData record edata.bham.ac.uk/1061/2/code_v3.zip ↗
landing page · from edata bham ac uk
- UBIRA eData record edata.bham.ac.uk/1061/1/code.zip ↗
landing page · from edata bham ac uk
- DOI doi.org/10.25500/edata.bham.00001049 ↗
DOI / persistent id · from edata bham ac uk
Catalogue records · 1
- OAI-PMH record edata.bham.ac.uk/cgi/oai2?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3… ↗
metadata API · from edata bham ac uk
Topics
- From keywords
- Earth & Environmental Science
Related
Provenance · 1 source records, 5 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| UBIRA eData | oai:edata.bham.ac.uk:1061 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].local:field:earth-environmental | mapping · edata bham ac uk | connector:edata_bham_ac_uk@1.0.0 | |
| description | source · edata bham ac uk | connector:edata_bham_ac_uk@1.0.0 | /metadata/dc/description |
| license_text | source · edata bham ac uk | connector:edata_bham_ac_uk@1.0.0 | |
| publication_date | source · edata bham ac uk | connector:edata_bham_ac_uk@1.0.0 | |
| title | source · edata bham ac uk | connector:edata_bham_ac_uk@1.0.0 | /metadata/dc/title |