Indexing and mining publicly available molecular dynamics simulation data: The MDverse project

Presentation given at the CECAM flagship school: Machine Learning in Physical Sciences: Theory and Applications Lyon, France, 26-30/05/2025 https://www.cecam.org/workshop-details/machine-learning-in-physical-sciences-theory-and-applications-1449

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-29
DOI
https://doi.org/10.5281/zenodo.15543635
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
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article

Indexing and mining publicly available molecular dynamics simulation data: The MDverse project

Zenodo (CERN European Organization for Nuclear Research)
Machine Learning in Materials Science
article

Indexing and mining publicly available molecular dynamics simulation data: The MDverse project

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Abstract

Presentation given at the CECAM flagship school: Machine Learning in Physical Sciences: Theory and Applications Lyon, France, 26-30/05/2025 https://www.cecam.org/workshop-details/machine-learning-in-physical-sciences-theory-and-applications-1449

Zenodo (CERN European Organization for Nuclear Research)
Université Paris Cité (FR), Laboratoire de Biochimie Théorique (FR)
Industry, innovation and infrastructure
Openalex Percentile: Top 64%
Machine Learning in Materials Science
DOIOpen Access PDFOpenAlex
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Indexing and mining publicly available molecular dynamics simulation data: The MDverse project · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS