Machine-Learning-Assisted Tuning of Exchange–Correlation Functional Parameters for the eXact-Integral Simplified Tamm-Dancoff Approximation Method
- DOI
- 10.1021/acs.jpca.6c04024
- Published
- 2026-10-16
- Container
- The Journal of Physical Chemistry A
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.jpca.6c04024,
title = {Machine-Learning-Assisted
Tuning of Exchange–Correlation
Functional Parameters for the eXact-Integral Simplified Tamm-Dancoff
Approximation Method},
author = {Sheng-Rui Wang and Dongyi Xiao and Qiu Fang and Xiang-Yang Liu and Ganglong Cui},
year = {2026},
journal = {The Journal of Physical
Chemistry A},
doi = {10.1021/acs.jpca.6c04024},
url = {https://doi.org/10.1021/acs.jpca.6c04024}
}RIS
TY - JOUR TI - Machine-Learning-Assisted Tuning of Exchange–Correlation Functional Parameters for the eXact-Integral Simplified Tamm-Dancoff Approximation Method AU - Sheng-Rui Wang AU - Dongyi Xiao AU - Qiu Fang AU - Xiang-Yang Liu AU - Ganglong Cui PY - 2026 JO - The Journal of Physical Chemistry A DO - 10.1021/acs.jpca.6c04024 UR - https://doi.org/10.1021/acs.jpca.6c04024 ER -
APA
Wang, S., Xiao, D., Fang, Q., Liu, X., & Cui, G. (2026). Machine-Learning-Assisted Tuning of Exchange–Correlation Functional Parameters for the eXact-Integral Simplified Tamm-Dancoff Approximation Method. The Journal of Physical Chemistry A. https://doi.org/10.1021/acs.jpca.6c04024
Source records
- crossref · retrieved 2026-11-11T02:07:24.787Z