Correlating Nitrate Adsorption with the Local Environments of FeCoNiCuZn High-Entropy Alloy Catalysts Using Machine Learning

Xiang He

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DOI: 10.1021/acs.langmuir.4c01071
Published: 2024-07-13
Container: Langmuir
Publisher: American Chemical Society (ACS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acs.langmuir.4c01071,
  title = {Correlating Nitrate Adsorption with the Local Environments of FeCoNiCuZn High-Entropy Alloy Catalysts Using Machine Learning},
  author = {Xiang He},
  year = {2024},
  journal = {Langmuir},
  doi = {10.1021/acs.langmuir.4c01071},
  url = {https://doi.org/10.1021/acs.langmuir.4c01071}
}

RIS

TY  - JOUR
TI  - Correlating Nitrate Adsorption with the Local Environments of FeCoNiCuZn High-Entropy Alloy Catalysts Using Machine Learning
AU  - Xiang He
PY  - 2024
JO  - Langmuir
DO  - 10.1021/acs.langmuir.4c01071
UR  - https://doi.org/10.1021/acs.langmuir.4c01071
ER  -

APA

He, X. (2024). Correlating Nitrate Adsorption with the Local Environments of FeCoNiCuZn High-Entropy Alloy Catalysts Using Machine Learning. Langmuir. https://doi.org/10.1021/acs.langmuir.4c01071

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crossref · retrieved 2026-09-27T16:30:36.447Z