Machine-Learned Energy Functionals for Multiconfigurational Wave Functions
![Electronic Structure - Modeling Properties Electronic Structure - Modeling Properties](https://gagliardigroup.uchicago.edu/wp-content/themes/gagliardi-bootstrap/assets/img/icons-research/Electronic_Structure_Modeling_Properties_teal.png)
![Machine Learning Machine Learning](https://gagliardigroup.uchicago.edu/wp-content/themes/gagliardi-bootstrap/assets/img/icons-research/Machine_Learning_teal.png)
Full Citation
D. S. King, D. G. Truhlar, and L. Gagliardi, Machine-Learned Energy Functionals for Multiconfigurational Wave Functions, J. Phys. Chem. Lett., 2021, 12, 7761–7767. DOI: 10.1021/acs.jpclett.1c02042