2 papers
physics.chem-ph2026
Physically-Relevant Information Learning in High-Dimensional Time-Derivatives Spaces
Domiziano Doria, Matteo Becchi, Giovanni M. Pavan
Understanding the physics of many-body complex dynamical systems may be a non-trivial task. High-dimensional analysis approaches are often deemed necessary to prevent losing import…
cond-mat.mtrl-sci2025
dynsight: an Open Python Platform for Simulation and Experimental Trajectory Data Analysis
Simone Martino, Matteo Becchi, Andrew Tarzia +2
The study of complex many-body systems via analysis of the trajectories of the units that dynamically move and interact within them is a non-trivial task. The workflow for extracti…