Salvatore Romano

Salvatore Romano is a researcher affiliated with the Faculty of Physics, specializing in computational and soft matter physics. His work combines machine learning techniques with molecular dynamics simulations to study complex physical systems.

• Computational Physics
• Soft Matter Physics
• Machine Learning
• Neural Networks
• Rare Event Sampling
• Surface Science

Romano's research focuses on the structure and dynamics of material interfaces, particularly using neural network potentials for rare event sampling and machine learning-based investigation of phase transitions. His recent publications emphasize computational methods for studying magnetite-water and ice-water interfaces.

His 2022-2025 publications demonstrate continuous research activity in computational physics with increasing application of machine learning tools. Collaborations include interdisciplinary work with computer scientists and material engineers.

He has presented at scientific conferences through oral presentations and poster sessions, including the 2024 international conference on computational physics research.