Efficient grand canonical global optimization with on-the-fly-trained machine-learning interatomic potentials.
- DOI
- 10.1063/5.0302876
- Published
- 2026-07-01
- Container
- J Chem Phys
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1063/5.0302876,
title = {Efficient grand canonical global optimization with on-the-fly-trained machine-learning interatomic potentials.},
author = {Quinlivan Dominguez JE and Christiansen MV and Neyman KM and Hammer B and Bruix A.},
year = {2026},
journal = {J Chem Phys},
doi = {10.1063/5.0302876},
url = {https://doi.org/10.1063/5.0302876}
}RIS
TY - JOUR TI - Efficient grand canonical global optimization with on-the-fly-trained machine-learning interatomic potentials. AU - Quinlivan Dominguez JE AU - Christiansen MV AU - Neyman KM AU - Hammer B AU - Bruix A. PY - 2026 JO - J Chem Phys DO - 10.1063/5.0302876 UR - https://doi.org/10.1063/5.0302876 ER -
APA
JE, Q. D., MV, C., KM, N., B, H., & A., B. (2026). Efficient grand canonical global optimization with on-the-fly-trained machine-learning interatomic potentials.. J Chem Phys. https://doi.org/10.1063/5.0302876
Source records
- europe-pmc · retrieved 2026-09-25T04:26:14.220Z