A Flexible, Automated, and Basis-Set-Insensitive Domain-Based Charge-Transfer Decomposition for Correlated Wave Functions and Its Application to Inter- and Intramolecular Cases
We present a flexible, automated, and basis-set-insensitive domain-based charge-transfer (CT) decomposition framework that can be combined with any configuration interaction (CI)-type excited-state wave function. Our approach is not based on excited-state densities and allows the excited-state character to be dissected into local and domain-based CT excitations and measures the individual contributions to each excited state. To guarantee a broad applicability, we introduce two domain-accumulation strategies to translate hole-particle substitutions to domain-domain excitations: a strict domain partitioning and a weighted approach suitable for small molecules and a large number of domains. The performance of both schemes is assessed for inter- and intramolecular CT excitations and various basis sets using EOM-CCSD and its simplified counterpart EOM-pCCD+S. Most importantly, the CT character is, to a large extent, basis-set independent, and both domain-accumulation schemes give consistent results. Overall, our framework provides a robust CT analysis and a domain resolution of the excitation character for a variety of computational setups and excited-state models.
Authors
- Katharina Bogusławski (ORCID: https://orcid.org/0000-0001-7793-1151)
- Marta Gałyńska (ORCID: https://orcid.org/0000-0002-0968-1856)
- Lena Szczuczko (ORCID: https://orcid.org/0000-0003-3476-4618)
- Julia Szczuczko
Institutions
- Nicolaus Copernicus University (PL)
- Institute of Physics (AZ)
Publication Details
- Journal
- The Journal of Physical Chemistry Letters
- Published
- 2026-05-22
- DOI
- https://doi.org/10.1021/acs.jpclett.6c01049
- Primary Topic
- Advanced Chemical Physics Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Narodowe Centrum Nauki
- Academic Computer Centre Cyfronet, AGH University of Science and Technology
- HORIZON EUROPE European Research Council