Predicting and Analyzing Nitrate Adsorption on High-Entropy Alloys Based on Pair Distribution Function Using a Hybrid Machine Learning Framework

Truong Nhut Huynh, Xiang He, Kim-Doang Nguyen

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DOI: 10.1021/acs.jcim.5c01838
Published: 2025-11-26
Container: Journal of Chemical Information and Modeling
Publisher: American Chemical Society (ACS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acs.jcim.5c01838,
  title = {Predicting and Analyzing Nitrate Adsorption on High-Entropy Alloys Based on Pair Distribution Function Using a Hybrid Machine Learning Framework},
  author = {Truong Nhut Huynh and Xiang He and Kim-Doang Nguyen},
  year = {2025},
  journal = {Journal of Chemical Information and Modeling},
  doi = {10.1021/acs.jcim.5c01838},
  url = {https://doi.org/10.1021/acs.jcim.5c01838}
}

RIS

TY  - JOUR
TI  - Predicting and Analyzing Nitrate Adsorption on High-Entropy Alloys Based on Pair Distribution Function Using a Hybrid Machine Learning Framework
AU  - Truong Nhut Huynh
AU  - Xiang He
AU  - Kim-Doang Nguyen
PY  - 2025
JO  - Journal of Chemical Information and Modeling
DO  - 10.1021/acs.jcim.5c01838
UR  - https://doi.org/10.1021/acs.jcim.5c01838
ER  -

APA

Huynh, T. N., He, X., & Nguyen, K. (2025). Predicting and Analyzing Nitrate Adsorption on High-Entropy Alloys Based on Pair Distribution Function Using a Hybrid Machine Learning Framework. Journal of Chemical Information and Modeling. https://doi.org/10.1021/acs.jcim.5c01838

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crossref · retrieved 2026-09-26T18:01:19.703Z