Federico Grasselli

activity

20232026

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solid electrolytes with ab initio accuracy

15 citations · 38 across the 10 of their papers we have counts for

collaborators

Showing 2026 · cond-mat.mtrl-sciShow all

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cond-mat.mtrl-sci2026

Tracking the Lithiation State of Li $_{x}$ Si from Machine-Learned XPS Binding Energies

Michael Alejandro Hernandez Bertran, Davide Tisi, Federico Grasselli +3

X-ray Photoelectron Spectroscopy (XPS) is a powerful technique to probe chemical states and interfacial processes in battery materials, but a quantitative interpretation is often h…

cond-mat.mtrl-sci2026

Long-range electrostatics in atomistic machine learning: a physical perspective

Federico Grasselli, Kevin Rossi, Stefano de Gironcoli +1

The inclusion of long-range electrostatics in atomistic machine learning (ML) is receiving increasing attention for achieving quantum-mechanical accuracy in predicting a wide range…

Tracking the Lithiation State of Lix​Si from Machine-Learned XPS Binding Energies

Long-range electrostatics in atomistic machine learning: a physical perspective

Tracking the Lithiation State of Li $_{x}$ Si from Machine-Learned XPS Binding Energies