Handbook of Materials Modeling 2020
DOI: 10.1007/978-3-319-44680-6_73
|View full text |Cite
|
Sign up to set email alerts
|

Adaptive Genetic Algorithm for Structure Prediction and Application to Magnetic Materials

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2020
2020
2020
2020

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(2 citation statements)
references
References 58 publications
0
2
0
Order By: Relevance
“…[15][16][17] Worldwide computational and experimental efforts exist to accelerate the development of new rare-earth-free magnetic compounds. 15,[18][19][20][21] The approach we describe for the discovery of new magnetic materials uniquely combines experiment, an adaptive genetic algorithm (AGA), and an electronic-structure method using densityfunctional theory (DFT) as schematically illustrated in the flowchart, Fig. 1.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…[15][16][17] Worldwide computational and experimental efforts exist to accelerate the development of new rare-earth-free magnetic compounds. 15,[18][19][20][21] The approach we describe for the discovery of new magnetic materials uniquely combines experiment, an adaptive genetic algorithm (AGA), and an electronic-structure method using densityfunctional theory (DFT) as schematically illustrated in the flowchart, Fig. 1.…”
Section: Introductionmentioning
confidence: 99%
“…This method does not require any assumptions on the Bravais lattice, atom basis, or unitcell dimensions. 18 Second, non-equilibrium fabrication methods, such as high-pressure sputtering (or cluster deposition) and rapid quenching from the melt (or melt spinning), can produce metastable phases. These phases require very high formation temperatures and may represent entirely new compounds, which do not exist in the equilibrium phase diagram.…”
Section: Introductionmentioning
confidence: 99%