Prediction and control of the spin-polarization: A theoretical analysis based on DFT, effective models, and machine learning | Seminário DFMT

Prediction and control of the spin-polarization: A theoretical analysis based on DFT, effective models, and machine learning
Seminário do Departamento de Física dos Materiais e Mecânica do IFUSP com o Prof. Carlos Mera Acosta - Universidad de la Sabana, Colômbia
10/04, 4ª feira, 10h. Ed. Alessandro Volta (bloco C), Sala de Seminários José Roberto Leite

Resumo: Spintronic - the use of the spin inestead of the electron charge as the basis of devices -  requires the control of the spin polarization in materials. In this talk, we discuss the theoretical understanding of the
spin polarization control from different perspectives including density functional calulations, effective models and machine learning.