Using Machine Learning Potentials to Explore Interdiffusion at Metal-Chalcogenide Interfaces.

Achar SK, Schneider J, Stewart DA

DOI: 10.1021/acsami.2c16254
Published: 2022 Dec 28
Container: ACS applied materials & interfaces
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acsami.2c16254,
  title = {Using Machine Learning Potentials to Explore Interdiffusion at Metal-Chalcogenide Interfaces.},
  author = {Achar SK and Schneider J and Stewart DA},
  year = {2022},
  journal = {ACS applied materials \& interfaces},
  doi = {10.1021/acsami.2c16254},
  url = {https://doi.org/10.1021/acsami.2c16254}
}

RIS

TY  - JOUR
TI  - Using Machine Learning Potentials to Explore Interdiffusion at Metal-Chalcogenide Interfaces.
AU  - Achar SK
AU  - Schneider J
AU  - Stewart DA
PY  - 2022
JO  - ACS applied materials & interfaces
DO  - 10.1021/acsami.2c16254
UR  - https://doi.org/10.1021/acsami.2c16254
ER  -

APA

SK, A., J, S., & DA, S. (2022). Using Machine Learning Potentials to Explore Interdiffusion at Metal-Chalcogenide Interfaces.. ACS applied materials & interfaces. https://doi.org/10.1021/acsami.2c16254

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pubmed · retrieved 2026-09-26T14:52:54.463Z