1 citations · 1 across the 3 of their papers we have counts for
4 papers
Transferable Machine Learning of Electronic Hamiltonians with Superposition-of-Atomic-Potentials Features
Chaoqun Zhang, Christian Venturella, Enzhi Chen +1
Machine learning (ML) of electronic Hamiltonians offers a unified route to electronic wave functions and physical observables. We introduce a Hamiltonian learning framework built o…
The Python Simulations of Chemistry Framework: 10 years of an open-source quantum chemistry project
Qiming Sun, Matthew R Hermes, Xiaojie Wu +100
Over the past decade, the Python-based Simulations of Chemistry Framework (PySCF) has developed into a widely used open-source platform for electronic structure theory and quantum…
Reduced-cost Relativistic Equation-of-Motion Coupled Cluster Method based on Frozen Natural Spinors: A State-Specific Approach
Tamoghna Mukhopadhyay, Mrinal Thapa, Somesh Chamoli +4
We present the theoretical framework, implementation, and benchmark results for a reduced-cost relativistic equation-of-motion coupled cluster singles and doubles (EOM-CCSD) method…
Frozen natural spinors for Cholesky decomposition based two-component relativistic coupled cluster method
Somesh Chamoli, Xubo Wang, Chaoqun Zhang +2
We present an efficient and cost-effective implementation for the exact two-component atomic mean field (X2CAMF) based coupled cluster (CC) method, which integrates frozen natural…