Automated Learning of a Dense Manifold of Electronic States and Electronic Energy Transfer and Reactions in Singlet O Collisions with N <sub>2</sub>

Qinghui Meng, Yinan Shu, Zoltan Varga, Dayou Zhang, Donald G. Truhlar

Open source

DOI: 10.34133/research.0992
Published: 2026-01-01
Container: Research
Publisher: American Association for the Advancement of Science (AAAS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.34133/research.0992,
  title = {Automated Learning of a Dense Manifold of Electronic States and Electronic Energy Transfer and Reactions in Singlet O Collisions with N
                    <sub>2</sub>},
  author = {Qinghui Meng and Yinan Shu and Zoltan Varga and Dayou Zhang and Donald G. Truhlar},
  year = {2026},
  journal = {Research},
  doi = {10.34133/research.0992},
  url = {https://doi.org/10.34133/research.0992}
}

RIS

TY  - JOUR
TI  - Automated Learning of a Dense Manifold of Electronic States and Electronic Energy Transfer and Reactions in Singlet O Collisions with N
                    <sub>2</sub>
AU  - Qinghui Meng
AU  - Yinan Shu
AU  - Zoltan Varga
AU  - Dayou Zhang
AU  - Donald G. Truhlar
PY  - 2026
JO  - Research
DO  - 10.34133/research.0992
UR  - https://doi.org/10.34133/research.0992
ER  -

APA

Meng, Q., Shu, Y., Varga, Z., Zhang, D., & Truhlar, D. G. (2026). Automated Learning of a Dense Manifold of Electronic States and Electronic Energy Transfer and Reactions in Singlet O Collisions with N <sub>2</sub>. Research. https://doi.org/10.34133/research.0992

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crossref · retrieved 2026-09-25T18:01:27.539Z