Density functional theory calculations of large systems: Interplay between fragments, observables, and computational complexity
File(s)2021_review_accepted.pdf (3.39 MB)
Accepted version
Author(s)
Type
Journal Article
Abstract
In the past decade, developments of computational technology around density functional theory (DFT) calculations have considerably increased the system sizes which can be practically simulated. The advent of robust high performance computing algorithms which scale linearly with system size has unlocked numerous opportunities for researchers. This fact enables computational physicists and chemists to investigate systems of sizes which are comparable to systems routinely considered by experimentalists, leading to collaborations with a wide range of techniques and communities. This has important consequences for the investigation paradigms which should be applied to reduce the intrinsic complexity of quantum mechanical calculations of many thousand atoms. It becomes important to consider portions of the full system in the analysis, which have to be identified, analyzed, and employed as building-blocks from which decomposed physico-chemical observables can be derived. After introducing the state-of-the-art in the large scale DFT community, we will illustrate the emerging research practices in this rapidly expanding field, and the knowledge gaps which need to be bridged to face the stimulating challenge of the simulation of increasingly realistic systems.
Date Issued
2022-05-01
Date Acceptance
2021-09-01
Citation
Wiley Interdisciplinary Reviews: Computational Molecular Science, 2022, 12 (3), pp.1-28
ISSN
1759-0876
Publisher
Wiley
Start Page
1
End Page
28
Journal / Book Title
Wiley Interdisciplinary Reviews: Computational Molecular Science
Volume
12
Issue
3
Copyright Statement
© 2021 Wiley Periodicals LLC. This is the accepted version of the following article: Dawson, W, Degomme, A, Stella, M, Nakajima, T, Ratcliff, LE, Genovese, L. Density functional theory calculations of large systems: Interplay between fragments, observables, and computational complexity. WIREs Comput Mol Sci. 2021;e1574, which has been published in final form at https://doi.org/10.1002/wcms.1574
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000703324000001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
EP/P033253/1
Subjects
Science & Technology
Physical Sciences
Life Sciences & Biomedicine
Chemistry, Multidisciplinary
Mathematical & Computational Biology
Chemistry
biomaterials
biomolecules
density functional theory
fragment molecular orbitals
large scale QM methods
macromolecular systems
MOLECULAR-ORBITAL METHOD
ENERGY DECOMPOSITION ANALYSIS
ELECTRONIC-STRUCTURE
OPTICAL-PROPERTIES
LIGAND BINDING
EFFICIENT
ACCURATE
SIZE
FMO
IMPLEMENTATION
Publication Status
Published
Article Number
ARTN e1574
Date Publish Online
2021-10-04