Machine Learning Prediction of Absorption and Emission: A Unified Approach for Metal-Organic and Organic Chromophores.

Ilin EA, Ilina VV, Ioffe IN, Medvedev MG, Goryunkov AA

DOI: 10.1021/acs.jpca.6c00682
Published: 2026 Jun 18
Container: The journal of physical chemistry. A
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acs.jpca.6c00682,
  title = {Machine Learning Prediction of Absorption and Emission: A Unified Approach for Metal-Organic and Organic Chromophores.},
  author = {Ilin EA and Ilina VV and Ioffe IN and Medvedev MG and Goryunkov AA},
  year = {2026},
  journal = {The journal of physical chemistry. A},
  doi = {10.1021/acs.jpca.6c00682},
  url = {https://doi.org/10.1021/acs.jpca.6c00682}
}

RIS

TY  - JOUR
TI  - Machine Learning Prediction of Absorption and Emission: A Unified Approach for Metal-Organic and Organic Chromophores.
AU  - Ilin EA
AU  - Ilina VV
AU  - Ioffe IN
AU  - Medvedev MG
AU  - Goryunkov AA
PY  - 2026
JO  - The journal of physical chemistry. A
DO  - 10.1021/acs.jpca.6c00682
UR  - https://doi.org/10.1021/acs.jpca.6c00682
ER  -

APA

EA, I., VV, I., IN, I., MG, M., & AA, G. (2026). Machine Learning Prediction of Absorption and Emission: A Unified Approach for Metal-Organic and Organic Chromophores.. The journal of physical chemistry. A. https://doi.org/10.1021/acs.jpca.6c00682

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pubmed · retrieved 2026-09-26T19:11:48.395Z