25 citations · 26 across the 5 of their papers we have counts for
6 papers
Resolvent Expansions at All Spectral Thresholds for Three-Dimensional Discrete Schrödinger Operators
Yanhong Chen, Sisi Huang, Xiaohua Yao
This paper studies resolvent expansions at all four spectral thresholds for the discrete Schrödinger operator on , where denotes the discrete Laplacian on $\mat…
Machine-learned dynamics of surface polarons at reduced oxide surfaces
Luca Leoni, Cesare Franchini
Reducible oxides exhibit a rich interplay of electronic, structural, and chemical properties that underpins applications in catalysis, photovoltaics, batteries, and energy storage.…
Machine Learning the order-disorder Jahn-Teller transition in LaMnO
Lorenzo Celiberti, Alexander Ehrentraut, Luca Leoni +1
We investigate the Jahn-Teller structural phase transition in LaMnO at K using molecular dynamics simulations based on machine-learning force fields trained…
Machine Learning Small Polaron Dynamics
Viktor C. Birschitzky, Luca Leoni, Michele Reticcioli +1
Polarons are crucial for charge transport in semiconductors, significantly impacting material properties and device performance. The dynamics of small polarons can be investigated…
Hydrogen Diffusion in Magnesium Using Machine Learning Potentials: a comparative study
Andrea Angeletti, Luca Leoni, Dario Massa +3
Understanding and accurately predicting hydrogen diffusion in materials is challenging due to the complex interactions between hydrogen defects and the crystal lattice. These inter…
Global sampling of Feynman's diagrams through Normalizing Flow
Luca Leoni, Cesare Franchini
Normalizing Flows (NF) are powerful generative models with increasing applications in augmenting Monte Carlo algorithms due to their high flexibility and expressiveness. In this wo…