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Luca Binci

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Related units (1)

Laboratory of theory and simulation of materials

EPFL
STI
IMX
THEOS

Related publications (8)

Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.

Machine learning Hubbard parameters with equivariant neural networks

Nicola Marzari, Martin Uhrin, Iurii Timrov, Austin Jacob Zadoks, Luca Binci

Density-functional theory with extended Hubbard functionals (DFT + U + V) provides a robust framework to accurately describe complex materials containing transition-metal or rare-earth elements. It does so by mitigating self-interaction errors inherent to ...

NATURE PORTFOLIO2025

Magnons from time-dependent density-functional perturbation theory and nonempirical Hubbard functionals

Nicola Marzari, Luca Binci

Spin excitations play a fundamental role in understanding magnetic properties of materials, and have significant technological implications for magnonic devices. However, accurately modeling these in transition-metal and rare-earth compounds remains a form ...

2025

Type-I antiferromagnetic Weyl semimetal InMnTi2

Nicola Marzari, Luca Binci, Davide Grassano

Topological materials have been a main focus of studies in the past decade due to their protected properties that can be exploited for the fabrication of new devices. Among them, Weyl semimetals are a class of topological semimetals with nontrivial linear ...

Amer Physical Soc2024