Integrating Coupled-Cluster Theory Within AI Workflows for Accurate Molecular Geometries.

Akram S, Vogiatzis KD.

DOI: 10.1002/jcc.70475
Published: 2026-08-01
Container: J Comput Chem
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1002/jcc.70475,
  title = {Integrating Coupled-Cluster Theory Within AI Workflows for Accurate Molecular Geometries.},
  author = {Akram S and  Vogiatzis KD.},
  year = {2026},
  journal = {J Comput Chem},
  doi = {10.1002/jcc.70475},
  url = {https://doi.org/10.1002/jcc.70475}
}

RIS

TY  - JOUR
TI  - Integrating Coupled-Cluster Theory Within AI Workflows for Accurate Molecular Geometries.
AU  - Akram S
AU  -  Vogiatzis KD.
PY  - 2026
JO  - J Comput Chem
DO  - 10.1002/jcc.70475
UR  - https://doi.org/10.1002/jcc.70475
ER  -

APA

S, A., & KD., V. (2026). Integrating Coupled-Cluster Theory Within AI Workflows for Accurate Molecular Geometries.. J Comput Chem. https://doi.org/10.1002/jcc.70475

Source records

europe-pmc · retrieved 2026-09-25T03:38:52.079Z