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} }