An artificial intelligence accelerated ab initio molecular dynamics dataset for electrochemical interfaces.
- DOI
- 10.1038/s41597-025-05338-5
- Published
- 2025 Jun 13
- Container
- Scientific data
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41597-025-05338-5,
title = {An artificial intelligence accelerated ab initio molecular dynamics dataset for electrochemical interfaces.},
author = {Zhuang YB and Liu C and Zhu JX and Hu JY and Le JB and Li JQ and Wen XJ and Fan XT and Jia M and Li XY and Chen A and Li L and Lin ZL and Xu WH and Cheng J},
year = {2025},
journal = {Scientific data},
doi = {10.1038/s41597-025-05338-5},
url = {https://doi.org/10.1038/s41597-025-05338-5}
}RIS
TY - JOUR TI - An artificial intelligence accelerated ab initio molecular dynamics dataset for electrochemical interfaces. AU - Zhuang YB AU - Liu C AU - Zhu JX AU - Hu JY AU - Le JB AU - Li JQ AU - Wen XJ AU - Fan XT AU - Jia M AU - Li XY AU - Chen A AU - Li L AU - Lin ZL AU - Xu WH AU - Cheng J PY - 2025 JO - Scientific data DO - 10.1038/s41597-025-05338-5 UR - https://doi.org/10.1038/s41597-025-05338-5 ER -
APA
YB, Z., C, L., JX, Z., JY, H., JB, L., JQ, L., XJ, W., XT, F., M, J., XY, L., A, C., L, L., ZL, L., WH, X., & J, C. (2025). An artificial intelligence accelerated ab initio molecular dynamics dataset for electrochemical interfaces.. Scientific data. https://doi.org/10.1038/s41597-025-05338-5