Advances in machine learning methods provide tools that have broad applicability in
scientific research. These techniques are being applied across the diversity of nuclear …

Data-driven science and technology offer transformative tools and methods to science. This
review article highlights the latest development and progress in the interdisciplinary field of …

Machine learning (ML) is growing in popularity for various particle accelerator applications
including anomaly detection such as faulty beam position monitor or RF fault identification …

This review represents a summary of recent work in the application of artificial intelligence
(AI) and machine learning (ML) in nuclear science, covering topics in nuclear theory …

Powerful deep learning tools, such as convolutional neural networks (CNN), are able to
learn the input-output relationships of large complicated systems directly from data. Encoder …