Semantic Scholar Open Access 2021 205 sitasi

Electronic-structure methods for materials design

N. Marzari A. Ferretti C. Wolverton

Abstrak

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. 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.

Topik & Kata Kunci

Penulis (3)

N

N. Marzari

A

A. Ferretti

C

C. Wolverton

Format Sitasi

Marzari, N., Ferretti, A., Wolverton, C. (2021). Electronic-structure methods for materials design. https://doi.org/10.1038/s41563-021-01013-3

Akses Cepat

Lihat di Sumber doi.org/10.1038/s41563-021-01013-3
Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Total Sitasi
205×
Sumber Database
Semantic Scholar
DOI
10.1038/s41563-021-01013-3
Akses
Open Access ✓