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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…
physics.chem-ph2024
Relevant, hidden, and frustrated information in high-dimensional analyses of complex dynamical systems with internal noise
Chiara Lionello, Matteo Becchi, Simone Martino +1
Extracting from trajectory data meaningful information to understand complex molecular systems might be non-trivial. High-dimensional analyses are typically assumed to be desirable…