Energy decomposition analysis method with the DFT-in-xTB embedding strategy for intermolecular interactions in large systems
In this work, an energy decomposition analysis (EDA) method, termed DM-EDA(EB), is introduced to explore intermolecular interactions in large systems by employing a DFT-in-xTB embedding scheme. DM-EDA(EB) integrates density matrix-based EDA (DM-EDA) with the GFNn-xTB method to decompose the total interaction energy into electrostatic, exchange-repulsion, polarization, and correlation terms. Test cases demonstrate that DM-EDA(EB) can accurately analyze total interaction energies in large systems with the computational efficiency comparable to GFNn-xTB. Notably, by using the appropriate partition strategy, DM-EDA(EB) is able to provide quantificational knowledge of individual interactions in large assemblies.
Authors
- Peifeng Su (ORCID: https://orcid.org/0000-0003-4398-6888)
- Wei Wu (ORCID: https://orcid.org/0000-0002-6139-5443)
- Yueyang Zhang (ORCID: https://orcid.org/0009-0009-7700-8661)
- Xuewei Xiong (ORCID: https://orcid.org/0009-0005-7310-434X)
Institutions
- Xiamen University (CN)
Publication Details
- Journal
- The Journal of Chemical Physics
- Published
- 2025-03-24
- DOI
- https://doi.org/10.1063/5.0258177
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China