Local Chemistry-Guided Molecular Beam Epitaxy Growth of SnSe on MgO via Combined ReaxFF Modeling and Machine Learning.
- DOI
- 10.1021/acsami.6c08764
- Published
- 2026 Aug 26
- Container
- ACS applied materials & interfaces
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acsami.6c08764,
title = {Local Chemistry-Guided Molecular Beam Epitaxy Growth of SnSe on MgO via Combined ReaxFF Modeling and Machine Learning.},
author = {Wang M and Moses IA and Chin JR and Zhang Q and Hilse M and Law S and Garten LM and Reinhart WF and Nayir N and van Duin ACT},
year = {2026},
journal = {ACS applied materials \& interfaces},
doi = {10.1021/acsami.6c08764},
url = {https://doi.org/10.1021/acsami.6c08764}
}RIS
TY - JOUR TI - Local Chemistry-Guided Molecular Beam Epitaxy Growth of SnSe on MgO via Combined ReaxFF Modeling and Machine Learning. AU - Wang M AU - Moses IA AU - Chin JR AU - Zhang Q AU - Hilse M AU - Law S AU - Garten LM AU - Reinhart WF AU - Nayir N AU - van Duin ACT PY - 2026 JO - ACS applied materials & interfaces DO - 10.1021/acsami.6c08764 UR - https://doi.org/10.1021/acsami.6c08764 ER -
APA
M, W., IA, M., JR, C., Q, Z., M, H., S, L., LM, G., WF, R., N, N., & ACT, V. D. (2026). Local Chemistry-Guided Molecular Beam Epitaxy Growth of SnSe on MgO via Combined ReaxFF Modeling and Machine Learning.. ACS applied materials & interfaces. https://doi.org/10.1021/acsami.6c08764
Source records
- pubmed · retrieved 2026-09-25T01:30:03.725Z