Our knowledge of the fundamental particles of nature and their interactions is summarized
by the standard model of particle physics. Advancing our understanding in this field has …

Abstract Machine Learning (ML) is one of the most exciting and dynamic areas of modern
research and application. The purpose of this review is to provide an introduction to the core …

The field of particle physics is in a peculiar state. The standard model of particle theory
successfully describes every fundamental particle and force observed in laboratories, yet …

Machine learning (ML) encompasses a broad range of algorithms and modeling tools used
for a vast array of data processing tasks, which has entered most scientific disciplines in …

Compelling experimental evidence suggests the existence of new physics beyond the well-
established and tested standard model of particle physics. Various current and upcoming …

The many ways in which machine and deep learning are transforming the analysis and
simulation of data in particle physics are reviewed. The main methods based on boosted …

Over the past five years, modern machine learning has been quietly revolutionizing particle
physics. Old methodology is being outdated and entirely new ways of thinking about data …

Artificial intelligence (AI) is being increasingly integrated into scientific discovery to augment
and accelerate research, helping scientists to generate hypotheses, design experiments …

High-energy-density physics is the field of physics concerned with studying matter at
extremely high temperatures and densities. Such conditions produce highly nonlinear …

Large experimental programmes in the fields of nuclear and particle physics search for
evidence of physics beyond that explained by current theories. The observation of the Higgs …