TEA Challenge 2023

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".