| Electron-passing neural networks for atomic charge prediction in systems with arbitrary molecular charge DP Metcalf, A Jiang, SA Spronk, DL Cheney, CD Sherrill Journal of Chemical Information and Modeling 61 (1), 115-122, 2020 | 34 | 2020 |
| Tensor hypercontraction form of the perturbative triples energy in coupled-cluster theory A Jiang, JM Turney, HF Schaefer III Journal of Chemical Theory and Computation 19 (5), 1476-1486, 2023 | 5 | 2023 |
| Accurate and efficient open-source implementation of domain-based local pair natural orbital (DLPNO) coupled-cluster theory using a t1-transformed Hamiltonian A Jiang, ZL Glick, D Poole, JM Turney, CD Sherrill, HF Schaefer The Journal of Chemical Physics 161 (8), 2024 | 1 | 2024 |
| Directional ΔG Neural Network (DrΔG-Net): A Modular Neural Network Approach to Binding Free Energy Prediction DP Metcalf, ZL Glick, A Bortolato, A Jiang, DL Cheney, CD Sherrill Journal of Chemical Information and Modeling 64 (6), 1907-1918, 2024 | 1 | 2024 |
| A modular, composite framework for the utilization of reduced-scaling Coulomb and exchange construction algorithms: Design and implementation D Poole, DB Williams-Young, A Jiang, ZL Glick, CD Sherrill The Journal of Chemical Physics 161 (5), 2024 | | 2024 |
| Supplementary Information for Electron-Passing Neural Networks for Atomic Charge Prediction in Systems with Arbitrary Molecular Charge DP Metcalf, A Jiang, SA Spronk, DL Cheney, CD Sherrill | | |
David SherrillRegents' Professor, Chemistry and Computational Science, Georgia Tech在 gatech.edu 的电子邮件经过验证
