Machine learning force field development and basic physical property studies for molten salt reactor fuel salt LiF-BeF(2)-UF(4).
- DOI
- 10.1039/d6cp01382a
- Published
- 2026 Sep 2
- Container
- Physical chemistry chemical physics : PCCP
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1039/d6cp01382a,
title = {Machine learning force field development and basic physical property studies for molten salt reactor fuel salt LiF-BeF(2)-UF(4).},
author = {Li X and Lv YH and Zhang L and Bo T},
year = {2026},
journal = {Physical chemistry chemical physics : PCCP},
doi = {10.1039/d6cp01382a},
url = {https://doi.org/10.1039/d6cp01382a}
}RIS
TY - JOUR TI - Machine learning force field development and basic physical property studies for molten salt reactor fuel salt LiF-BeF(2)-UF(4). AU - Li X AU - Lv YH AU - Zhang L AU - Bo T PY - 2026 JO - Physical chemistry chemical physics : PCCP DO - 10.1039/d6cp01382a UR - https://doi.org/10.1039/d6cp01382a ER -
APA
X, L., YH, L., L, Z., & T, B. (2026). Machine learning force field development and basic physical property studies for molten salt reactor fuel salt LiF-BeF(2)-UF(4).. Physical chemistry chemical physics : PCCP. https://doi.org/10.1039/d6cp01382a
Source records
- pubmed · retrieved 2026-09-26T19:08:01.936Z
- europe-pmc · retrieved 2026-09-26T19:08:01.951Z