Machine Learning in Nuclear Physics
It addresses the integration of machine learning into nuclear physics for researchers in that field, but it is incremental as it primarily surveys existing applications.
The paper reviews how machine learning techniques are being applied across various nuclear physics research topics, leading to advances that facilitate scientific discoveries and societal applications.
Advances in machine learning methods provide tools that have broad applicability in scientific research. These techniques are being applied across the diversity of nuclear physics research topics, leading to advances that will facilitate scientific discoveries and societal applications. This Review gives a snapshot of nuclear physics research which has been transformed by machine learning techniques.