Integrating physics priors into machine learning enhances efficiency, reduces data needs and yields reliable results. This Perspective explores physics-driven learning and inverse modelling of ...
Theoretical nuclear physics is the development of models for describing the nucleus and the processes that occur within it. This includes understanding the shape of the nucleus, or why nuclei with ...