Mixed Precision Fermi-Operator Expansion on Tensor Cores from a Machine Learning Perspective-Reference-Cited by-同舟云学术

Mixed Precision Fermi-Operator Expansion on Tensor Cores from a Machine Learning Perspective

Published:2021-04-02 Issue:4 Volume:17 Page:2256-2265
ISSN:1549-9618
Container-title:Journal of Chemical Theory and Computation
language:en
Short-container-title:J. Chem. Theory Comput.

Author:

Finkelstein Joshua¹^ORCID,Smith Justin S.¹,Mniszewski Susan M.²^ORCID,Barros Kipton¹,Negre Christian F. A.¹,Rubensson Emanuel H.³,Niklasson Anders M. N.¹

Affiliation:

1. Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States

2. Computer, Computational, and Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States

3. Division of Scientific Computing, Department of Information Technology, Uppsala University, P.O. Box 337, Uppsala SE-751 05, Sweden

Funder

Los Alamos National Laboratory

Basic Energy Sciences

Publisher

American Chemical Society (ACS)

Subject

Physical and Theoretical Chemistry,Computer Science Applications

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jctc.1c00057

Reference53 articles.

1. The density matrix in self-consistent field theory I. Iterative construction of the density matrix

2. Some Recent Advances in Density Matrix Theory

3. Interatomic Forces in Condensed Matter

4. Green’s Functions in Quantum Physics

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