Neural-network-backed evolutionary search for SrTiO

Autor: Ralf, Wanzenböck, Marco, Arrigoni, Sebastian, Bichelmaier, Florian, Buchner, Jesús, Carrete, Georg K H, Madsen
Rok vydání: 2022
Zdroj: Digital discovery. 1(5)
ISSN: 2635-098X
Popis: The determination of atomic structures in surface reconstructions has typically relied on structural models derived from intuition and domain knowledge. Evolutionary algorithms have emerged as powerful tools for such structure searches. However, when density functional theory is used to evaluate the energy the computational cost of a thorough exploration of the potential energy landscape is prohibitive. Here, we drive the exploration of the rich phase diagram of TiO
Databáze: OpenAIRE