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review article

Electronic-structure methods for materials design

Marzari, Nicola  
•
Ferretti, Andrea
•
Wolverton, Chris
June 1, 2021
Nature Materials

Simulations can be used to accelerate the characterization and discovery of materials. Here we Review how electronic-structure methods such as density functional theory work, what properties they can be used to predict and how they can be used to design materials.

The accuracy and efficiency of electronic-structure methods to understand, predict and design the properties of materials has driven a new paradigm in research. Simulations can greatly accelerate the identification, characterization and optimization of materials, with this acceleration driven by continuous progress in theory, algorithms and hardware, and by adaptation of concepts and tools from computer science. Nevertheless, the capability to identify and characterize materials relies on the predictive accuracy of the underlying physical descriptions, and on the ability to capture the complexity of realistic systems. We provide here an overview of electronic-structure methods, of their application to the prediction of materials properties, and of the different strategies employed towards the broader goals of materials design and discovery.

  • Details
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Type
review article
DOI
10.1038/s41563-021-01013-3
Web of Science ID

WOS:000655912800010

Author(s)
Marzari, Nicola  
•
Ferretti, Andrea
•
Wolverton, Chris
Date Issued

2021-06-01

Publisher

NATURE RESEARCH

Published in
Nature Materials
Volume

20

Issue

6

Start page

736

End page

749

Subjects

Chemistry, Physical

•

Materials Science, Multidisciplinary

•

Physics, Applied

•

Physics, Condensed Matter

•

Chemistry

•

Materials Science

•

Physics

•

initio molecular-dynamics

•

density-functional theory

•

crystal-structure

•

free-energy

•

band-gaps

•

approximation

•

exchange

•

potentials

•

prediction

•

equation

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
THEOS  
Available on Infoscience
June 19, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/179121
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