activity
20242026
most citedMachine Learning the Energetics of Electrified Solid/Liquid Interfaces

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cond-mat.mtrl-sci2026

A grand potential for molten-salt electrochemical phase diagrams from first principles

Lorenzo Bastonero, Lucio Colombi Ciacchi, Nicola Marzari

The clean-energy transition is driving unprecedented demand for metals, whose extraction is among the largest industrial sources of carbon emissions. Molten-salt electrolysis offer…

physics.chem-ph2025

Vibrational frequencies and stark tuning rate with continuum electro-chemical models and grand canonical density functional theory

Mouyi Weng, Nicéphore Bonnet, Oliviero Andreussi +1

Simulating electrochemical interfaces using density functional theory (DFT) requires incorporating the effects of electrochemical potential. The electrochemical potential acts as a…

cond-mat.mtrl-sci2025★ 1 cited

Machine Learning the Energetics of Electrified Solid/Liquid Interfaces

Nicolas Bergmann, Nicéphore Bonnet, Nicola Marzari +2

We present a response-augmented machine learning (ML) approach to the energetics of electrified metal surfaces. We leverage local descriptors to learn the work function as the firs…

cond-mat.mtrl-sci2025

Lithium Intercalation in the Anisotropic van der Waals Magnetic Semiconductor CrSBr

Kseniia Mosina, Aljoscha Söll, Jiri Sturala +9

Alkali metal intercalation is an important strategy for doping van der Waals materials. Lithium, in particular, was shown to achieve exceptional charge carrier densities, reaching…

cond-mat.soft2024

Ion Sieving in Two-Dimensional Membranes from First Principles

Nicéphore Bonnet, Nicola Marzari

A first-principles approach for calculating ion separation in solution through two-dimensional (2D) membranes is proposed and applied. Ionic energy profiles across the membrane are…

cond-mat.mtrl-sci2024

Optimizing ionic conductivity of lithium in LiPS argyrodite via dopant engineering

Sokseiha Muy, Thierry Le Mercier, Marion Dufour +3

Li-containing argyrodites represent a promising family of Li-ion conductors with several derived compounds exhibiting room-temperature ionic conductivity > 1 mS/cm and making them…

cond-mat.mtrl-sci2024

A comprehensive screening of plasma-facing materials for nuclear fusion

Andrea Fedrigucci, Nicola Marzari, Paolo Ricci

Plasma-facing materials (PFMs) represent one of the most significant challenges for the design of future nuclear fusion reactors. Inside the reactor, the divertor will experience t…