Marcio Costa

From DFT to machine learning: recent approaches to materials science–a review

Gabriel R. Schleder, A. C. M. Padilha, Carlos Mera Acosta et al. · Journal of Physics Materials · 2019 · 808 citations · Full text

Engineering, Machine Learning, Machine Learning Algorithms +16

Disentangling Orbital and Valley Hall Effects in Bilayers of Transition Metal Dichalcogenides

Tarik P. Cysne, Marcio Costa, Luis M. Canonico et al. · Physical Review Letters · 2021 · 141 citations · Full text

Engineering, Transition Metal Dichalcogenides, Valley Hall Effects +17

PAOFLOW: A utility to construct and operate on ab initio Hamiltonians from the projections of electronic wavefunctions on atomic orbital bases, including characterization of topological materials

Marco Buongiorno Nardelli, Frank Cerasoli, Marcio Costa et al. · Computational Materials Science · 2017 · 118 citations

Quantum Science, Engineering, Topological Materials +11

Room-temperature ferroelectric switching of spin-to-charge conversion in germanium telluride

Sara Varotto, Luca Nessi, Stefano Cecchi et al. · Nature Electronics · 2021 · 110 citations · Full text

Magnetism, Spintronics, Spin-charge-orbit Conversion +7

Interatomic Exchange Interactions for Finite-Temperature Magnetism and Nonequilibrium Spin Dynamics

A. Szilva, Marcio Costa, Anders Bergman et al. · Physical Review Letters · 2013 · 100 citations

Collinear Arrangement, Engineering, Bcc Fe +19