activity
20142026
most citedIs there evidence for exponential quantum advantage in quantum chemistry?

250 citations · 973 across the 45 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

physics.chem-ph2024

Orbital Anatomy of Self-Interaction in Kohn-Sham Density Functional Theory

Samuel A. Slattery, Edward F. Valeev

Self-interaction is a fundamental flaw of practical Kohn-Sham Density Functional Theory (KS DFT) approximations responsible for numerous qualitative and even catastrophic shortcomi…

physics.chem-ph2024★ 8 cited

"Best" iterative coupled-cluster triples model: More evidence for 3CC

Nakul Teke, Ajay Melekamburath, Bimal Gaudel +1

To follow up on the unexpectedly-good performance of several coupled-cluster models with approximate inclusion of 3-body clusters [J. Chem. Phys. 151, 064102 (2019)] we performed a…

physics.chem-ph2024★ 6 cited

Revisiting Artifacts of Kohn-Sham Density Functionals for Biosimulation

Samuel A. Slattery, Jaden C. Yon, Edward F. Valeev

We revisit the problem of unphysical charge density delocalization/fractionalization induced by the self-interaction error of common approximate Kohn-Sham Density Functional Theory…

physics.comp-ph2024★ 14 cited

3-center and 4-center 2-particle Gaussian AO integrals on modern accelerated processors

Andrey Asadchev, Edward F. Valeev

We report an implementation of the McMurchie-Davidson (MD) algorithm for 3-center and 4-center 2-particle integrals over Gaussian atomic orbitals (AOs) with low and high angular mo…

physics.chem-ph2024

Relativistic coupled cluster with completely renormalized and perturbative triples corrections

Stephen H. Yuwono, Run R. Li, Tianyuan Zhang +4

We have implemented noniterative triples corrections to the energy from coupled-cluster with single and double excitations (CCSD) within the 1-electron exact two-component (1eX2C)…

cs.PL2024

CoNST: Code Generator for Sparse Tensor Networks

Saurabh Raje, Yufan Xu, Atanas Rountev +2

Sparse tensor networks are commonly used to represent contractions over sparse tensors. Tensor contractions are higher-order analogs of matrix multiplication. Tensor networks arise…