First-Principles and Machine Learning Study of ML- <i>P</i> 4/ <i>mmm</i> -LaBr2: A Promising Flexible Electronic Material

Qing Lu, Chi Ding, Xiaomeng Wang, Junjie Wang, Yu Han, Jian Sun

Open source

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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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

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