Work

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

Year: 2025

Type: paratext

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

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15543634

Author: Poulain, Pierre

Institutions: Université Paris Cité, Laboratoire de Biochimie Théorique

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6911798060

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