Published November 24, 2024
| Version v2
Dataset
Open
TEA Challenge 2023
Authors/Creators
-
1.
University of Luxembourg
-
2.
University of Mons
Description
The datasets and trained models involved in the Challenges I - IV of the TEA Challenge 2023 (https://tea-uni-lu.github.io) can be found here. The data was used in the two-part articles "Crash Testing Machine Learning Force Fields for Molecules, Materials, and Interfaces: Model Analysis in the TEA Challenge 2023" and "Crash Testing Machine Learning Force Fields for Molecules, Materials, and Interfaces: Molecular Dynamics in the TEA Challenge 2023".
Files
ChallengeI.zip
Files
(4.8 GB)
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