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Electronic structure simulations in the cloud computing environment.

Authors :
Bylaska EJ
Panyala A
Bauman NP
Peng B
Pathak H
Mejia-Rodriguez D
Govind N
Williams-Young DB
Aprà E
Bagusetty A
Mutlu E
Jackson KA
Baruah T
Yamamoto Y
Pederson MR
Withanage KPK
Pedroza-Montero JN
Bilbrey JA
Choudhury S
Firoz J
Herman KM
Xantheas SS
Rigor P
Vila FD
Rehr JJ
Fung M
Grofe A
Johnston C
Baker N
Kaneko K
Liu H
Kowalski K
Source :
The Journal of chemical physics [J Chem Phys] 2024 Oct 21; Vol. 161 (15).
Publication Year :
2024

Abstract

The transformative impact of modern computational paradigms and technologies, such as high-performance computing (HPC), quantum computing, and cloud computing, has opened up profound new opportunities for scientific simulations. Scalable computational chemistry is one beneficiary of this technological progress. The main focus of this paper is on the performance of various quantum chemical formulations, ranging from low-order methods to high-accuracy approaches, implemented in different computational chemistry packages and libraries, such as NWChem, NWChemEx, Scalable Predictive Methods for Excitations and Correlated Phenomena, ExaChem, and Fermi-Löwdin orbital self-interaction correction on Azure Quantum Elements, Microsoft's cloud services platform for scientific discovery. We pay particular attention to the intricate workflows for performing complex chemistry simulations, associated data curation, and mechanisms for accuracy assessment, which is demonstrated with the Arrows automated workflow for high throughput simulations. Finally, we provide a perspective on the role of cloud computing in supporting the mission of leadership computational facilities.<br /> (© 2024 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).)

Details

Language :
English
ISSN :
1089-7690
Volume :
161
Issue :
15
Database :
MEDLINE
Journal :
The Journal of chemical physics
Publication Type :
Academic Journal
Accession number :
39431777
Full Text :
https://doi.org/10.1063/5.0226437