High-Accuracy Machine Learning Projections of Composition-Dependent Thermal Stability in Halide Perovskites.

Hering AR, Dubey M, Hosseini E, Srivastava M, An Y, Correa-Baena JP, Homayoun H, Leite MS

DOI: 10.1002/adma.73636
Published: 2026 Aug
Container: Advanced materials (Deerfield Beach, Fla.)
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.1002/adma.73636,
  title = {High-Accuracy Machine Learning Projections of Composition-Dependent Thermal Stability in Halide Perovskites.},
  author = {Hering AR and Dubey M and Hosseini E and Srivastava M and An Y and Correa-Baena JP and Homayoun H and Leite MS},
  year = {2026},
  journal = {Advanced materials (Deerfield Beach, Fla.)},
  doi = {10.1002/adma.73636},
  url = {https://doi.org/10.1002/adma.73636}
}

RIS

TY  - JOUR
TI  - High-Accuracy Machine Learning Projections of Composition-Dependent Thermal Stability in Halide Perovskites.
AU  - Hering AR
AU  - Dubey M
AU  - Hosseini E
AU  - Srivastava M
AU  - An Y
AU  - Correa-Baena JP
AU  - Homayoun H
AU  - Leite MS
PY  - 2026
JO  - Advanced materials (Deerfield Beach, Fla.)
DO  - 10.1002/adma.73636
UR  - https://doi.org/10.1002/adma.73636
ER  -

APA

AR, H., M, D., E, H., M, S., Y, A., JP, C., H, H., & MS, L. (2026). High-Accuracy Machine Learning Projections of Composition-Dependent Thermal Stability in Halide Perovskites.. Advanced materials (Deerfield Beach, Fla.). https://doi.org/10.1002/adma.73636

Source records

pubmed · retrieved 2026-09-26T06:20:36.373Z