First-Principles and Machine Learning Study of ML- <i>P</i> 4/ <i>mmm</i> -LaBr2: A Promising Flexible Electronic Material
- DOI
- 10.1021/acs.jpclett.6c01802
- Published
- 2026-08-05
- Container
- The Journal of Physical Chemistry Letters
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.jpclett.6c01802,
title = {First-Principles
and Machine Learning Study of ML-
<i>P</i>
4/
<i>mmm</i>
-LaBr2: A Promising Flexible
Electronic Material},
author = {Qing Lu and Chi Ding and Xiaomeng Wang and Junjie Wang and Yu Han and Jian Sun},
year = {2026},
journal = {The Journal of Physical
Chemistry Letters},
doi = {10.1021/acs.jpclett.6c01802},
url = {https://doi.org/10.1021/acs.jpclett.6c01802}
}RIS
TY - JOUR
TI - First-Principles
and Machine Learning Study of ML-
<i>P</i>
4/
<i>mmm</i>
-LaBr2: A Promising Flexible
Electronic Material
AU - Qing Lu
AU - Chi Ding
AU - Xiaomeng Wang
AU - Junjie Wang
AU - Yu Han
AU - Jian Sun
PY - 2026
JO - The Journal of Physical
Chemistry Letters
DO - 10.1021/acs.jpclett.6c01802
UR - https://doi.org/10.1021/acs.jpclett.6c01802
ER - APA
Lu, Q., Ding, C., Wang, X., Wang, J., Han, Y., & Sun, J. (2026). First-Principles and Machine Learning Study of ML- <i>P</i> 4/ <i>mmm</i> -LaBr2: A Promising Flexible Electronic Material. The Journal of Physical Chemistry Letters. https://doi.org/10.1021/acs.jpclett.6c01802
Source records
- crossref · retrieved 2026-09-25T23:31:34.433Z