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PreprintLicence not statedChemRxiv

∆-Machine Learning for LC-DFT-level Excitation Energies of Bacteriochlorophyll Molecules in a LH2 Complex

  • Sayan Maity1,2,3
  • Vivin Vinod4,5
  • Peter Zaspel4,5
  • Ulrich Kleinekathöfer3
5 affiliations
  1. 1Department of Physics and Astronomy and Thomas Young Centre
  2. 2University College London
  3. 3School of Science, Constructor University, Campus Ring 1, Bremen, Germany, 28759
  4. 4School of Mathematics and Natural Sciences
  5. 5University of Wuppertal
Open at sourceDOICite

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Cite

BibTeXRIS
BibTeX
@misc{maity2026machine,
  title = {{∆-Machine Learning for LC-DFT-level Excitation Energies of Bacteriochlorophyll Molecules in a LH2 Complex}},
  author = {Sayan Maity and Vivin Vinod and Peter Zaspel and Ulrich Kleinekathöfer},
  howpublished = {ChemRxiv},
  year = {2026},
  month = sep,
  doi = {10.26434/chemrxiv.15002714/v2},
  url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15002714/v2},
}
RIS
TY  - UNPB
TI  - ∆-Machine Learning for LC-DFT-level Excitation Energies of Bacteriochlorophyll Molecules in a LH2 Complex
AU  - Sayan Maity
AU  - Vivin Vinod
AU  - Peter Zaspel
AU  - Ulrich Kleinekathöfer
PY  - 2026
DA  - 2026/09/08
PB  - ChemRxiv
DO  - 10.26434/chemrxiv.15002714/v2
UR  - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15002714/v2
ER  -