Research period (31/03/2025 - Present): ENS Paris
CNR Nanotech Associate (06/2024 – Present): CNR Nanotech
PhD in Physics (11/2023 – Present): Sapienza Università di Roma – admitted to the physics PhD programme ranking 2nd with Sapienza Scholarship
Master’s Degree in Physics (Theoretical Physics; Statistical Mechanics) (09/2021 – 10/2023): Sapienza Università di Roma – final grade 110/110 cum laude; thesis: The Solution to the Belief Propagation Equations for the Sparse Disordered Heisenberg Model
Bachelor’s Degree in Physics (09/2018 – 09/2021): Sapienza Università di Roma – final grade 110/110 cum laude; thesis: Metodi Monte Carlo per la simulazione del modello vettoriale di Potts a 4 colori
High School Diploma (Classical Studies) (2013 – 2018): Liceo Classico Dante Alighieri, Latina – final grade 100/100 e lode
I am currently working on the application of Machine Learning methods to aid the Monte Carlo sampling of statistical mechanics systems.
I am also interested in the broader application of statistical mechanics techniques to artifical intelligence, inference problems and biological neural networks.
In my Master I have worked on the study of spin glass systems of Heisenberg spins on sparse random graphs via Belief Propagation.
Interests: Machine Learning, Statistical Mechanics, Disordered Systems, Monte Carlo simulations
- "On the performance of machine-learning-assisted Monte Carlo in sampling from simple statistical physics models” – arXiv:2505.22598, 2025 — Luca Maria Del Bono; Federico Ricci-Tersenghi; Francesco Zamponi
- “Nearest-Neighbours Neural Network architecture for efficient sampling of statistical physics models” – Machine Learning: Science and Technology, 2025 — Luca Maria Del Bono; Federico Ricci-Tersenghi; Francesco Zamponi
- “The most uniform distribution of points on the sphere” – PLOS ONE, 2024 — Luca Maria Del Bono; Flavio Nicoletti; Federico Ricci-Tersenghi
- “Analytical solution to Heisenberg spin glass models on sparse random graphs and their de Almeida–Thouless line” – Physical Review B, 2024 — Luca Maria Del Bono; Flavio Nicoletti; Federico Ricci-Tersenghi
