most citedA tight distance-dependent estimator for screening three-center Coulomb integrals over Gaussian basis functions

22 citations · 36 across the 4 of their papers we have counts for

collaborators

4 papers

math.NA2020

Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software: Extended Analysis

Jeremy M. Myers, Daniel M. Dunlavy, Keita Teranishi +1

Tensor decomposition models play an increasingly important role in modern data science applications. One problem of particular interest is fitting a low-rank Canonical Polyadic (CP…

cs.DC2020★ 13 cited

mdspan in C++: A Case Study in the Integration of Performance Portable Features into International Language Standards

D. S. Hollman, Bryce Adelstein Lelbach, H. Carter Edwards +3

Multi-dimensional arrays are ubiquitous in high-performance computing (HPC), but their absence from the C++ language standard is a long-standing and well-known limitation of their…

physics.chem-ph2014★ 1 cited

Fast construction of the exchange operator in an atom-centered basis with concentric atomic density fitting

David S. Hollman, Henry F. Schaefer, Edward F. Valeev

A linear-scaling algorithm is presented for computing the Hartree-Fock (HF) exchange matrix using concentric atomic density fitting. The algorithm utilizes the stronger distance de…

physics.chem-ph2014★ 22 cited

A tight distance-dependent estimator for screening three-center Coulomb integrals over Gaussian basis functions

David S. Hollman, Henry F. Schaefer, Edward F. Valeev

A new estimator for three-center two-particle Coulomb integrals is presented. Our estimator is exact for some classes of integrals and is much more efficient than the standard Schw…