2 citations · 2 across the 2 of their papers we have counts for
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Comparative study of magnetic exchange parameters and magnon dispersions in NiO and MnO from first principles
Flaviano José dos Santos, Luca Binci, Guido Menichetti +3
Spin-wave excitations are fundamental to understanding the behavior of magnetic materials and hold promise for future information and communication technologies. Yet, modeling thes…
Making atomistic materials calculations accessible with the AiiDAlab Quantum ESPRESSO app
Xing Wang, Edan Bainglass, Miki Bonacci +23
Despite the wide availability of density functional theory (DFT) codes, their adoption by the broader materials science community remains limited due to challenges such as software…
Magnons from time-dependent density-functional perturbation theory and nonempirical Hubbard functionals
Luca Binci, Nicola Marzari, Iurii Timrov
Spin excitations play a fundamental role in understanding magnetic properties of materials, and have significant technological implications for magnonic devices. However, accuratel…
Machine learning Hubbard parameters with equivariant neural networks
Martin Uhrin, Austin Zadoks, Luca Binci +2
Density-functional theory with extended Hubbard functionals (DFT++) provides a robust framework to accurately describe complex materials containing transition-metal or rare-e…