Dynamic Metrics to Validate the Use of Machine-Learned Interatomic Potential for Dynamic Sampling.
Bourgeois Biova Irénée Gadjagboui|Md. Sharif Khan|Oliviero Andreussi
| Anthology ID: | DBLP:conf/wsdm/GadjagbouiKA26 |
|---|---|
| Volume: | Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026 |
| Year: | 2026 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 1374-1375 |
| URL: | https://doi.org/10.1145/3773966.3785507 |
| DOI: | https://doi.org/10.1145/3773966.3785507 |
| DBLP: | conf/wsdm/GadjagbouiKA26 |
| BibTeX: |
@inproceedings{gadjagboui-2026-dynamic,
author = {Bourgeois Biova Ir\'{e}n\'{e}e Gadjagboui and
Md. Sharif Khan and
Oliviero Andreussi},
title = {{Dynamic Metrics to Validate the Use of Machine-Learned Interatomic Potential for Dynamic Sampling}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}},
pages = {1374--1375},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3773966.3785507},
doi = {https://doi.org/10.1145/3773966.3785507}
}