2 papers
physics.comp-ph2026
Advancing Machine Learning Applications in Quantum Few-Body Systems
Jin Ziqi, Paolo Recchia, Mario Gattobigio
This paper presents a general neural network framework for solving quantum few-body systems, extending prior methods to handle diverse particle masses, interaction types, and syste…
nucl-th2024
The and correlation functions
E. Garrido, A. Kievsky, M. Gattobigio +5
In this work we present the study of and scattering processes using femtoscopic correlation functions. This observable has been recently used to access the low-energy…