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<i>Ab initio</i>random structure searching

Journal of Physics Condensed Matter · 2011 · Vol. 23(5) · pp. 053201–053201
Chris J. PickardR. J. Needs

Abstract

It is essential to know the arrangement of the atoms in a material in order to compute and understand its properties. Searching for stable structures of materials using first-principles electronic structure methods, such as density-functional-theory (DFT), is a rapidly growing field. Here we describe our simple, elegant and powerful approach to searching for structures with DFT, which we call ab initio random structure searching (AIRSS). Applications to discovering the structures of solids, point defects, surfaces, and clusters are reviewed. New results for iron clusters on graphene, silicon clusters, polymeric nitrogen, hydrogen-rich lithium hydrides, and boron are presented.

Advanced Chemical Physics StudiesMachine Learning in Materials ScienceHigh-pressure geophysics and materialsAb initioDensity functional theoryElectronic structureLithium (medication)GrapheneMaterials scienceHydrogen storageComputational chemistryAb initio quantum chemistry methodsChemical physics

Funding

  • Engineering and Physical Sciences Research Council
Citations
1,200
FWCI
28.57
field-weighted impact
References
137
Percentile
100%
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