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Cited by 312

The DOI matches its Crossref record; 123 of the 123 references it cites were found in a registry or an index.

TeraChem: A graphical processing unit‐accelerated electronic structure package for large‐scale ab initio molecular dynamics

Open access
Seritan, Stefan, Bannwarth, Christoph, Fales, Bryan S., Hohenstein, Edward G., Isborn, Christine M., Kokkila‐Schumacher, Sara I. L., Li, Xin, Liu, Fang, Luehr, Nathan, Snyder, James W., Song, Chenchen, Titov, Alexey V., Ufimtsev, Ivan S., Wang, Lee‐Ping, Martínez, Todd J.·2021·WIREs Computational Molecular Science
DOI 10.1002/wcms.1494
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Abstract

TeraChem was born in 2008 with the goal of providing fast on‐the‐fly electronic structure calculations to facilitate ab initio molecular dynamics studies of large biochemical systems such as photoswitchable proteins and multichromophoric antenna complexes. Originally developed for videogaming applications, graphics processing units (GPUs) offered a low‐cost parallel computer architecture that became more accessible for general‐purpose GPU computing with the release of CUDA in 2007. The evaluation of the electron repulsion integrals (ERIs) is a major bottleneck in electronic structure codes and provides an attractive target for acceleration on GPUs. Thus, highly efficient routines for evaluation of and contractions between the ERIs and density matrices were implemented in TeraChem. Electronic structure methods were developed and implemented to leverage these integral contraction routines, resulting in the first quantum chemistry package designed from the ground up for GPUs. This GPU acceleration makes TeraChem capable of performing large‐scale ground and excited state calculations in the gas and condensed phase. Today, TeraChem's speed forms the basis for a suite of quantum chemistry applications, including optimization and dynamics of proteins, automated and interactive chemical discovery tools, and large‐scale nonadiabatic dynamics simulations. This article is categorized under: Electronic Structure Theory > Ab Initio Electronic Structure Methods Software > Quantum Chemistry Structure and Mechanism > Computational Biochemistry and Biophysics

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Metadata

Authors
Seritan, S., Bannwarth, C., Fales, B. S., Hohenstein, E. G., Isborn, C. M., Kokkila‐Schumacher, S. I. L., Li, X., Liu, F., Luehr, N., Snyder, J. W., Song, C., Titov, A. V., Ufimtsev, I. S., Wang, L., & Martínez, T. J.
Venue
WIREs Computational Molecular Science
Publisher
Wiley
Published
2020-07-26
Volume
11
Issue
2
ISSN
  • 1759-0876 (ISSN-L)
  • 1759-0884
DOI
10.1002/wcms.1494
OpenAlex
W3046033601
Cited by
312
References
123
FWCI
13.68
Type
journal article
Language
en
Open access
green

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