We are delighted to announce that an article on “Artificial Intelligence for Advancing Particle Accelerators” was just published in Europhysics News. It describes how cutting-edge artificial intelligence (AI) and machine learning solutions are revolutionizing the design, optimization, and operation of accelerators worldwide.
Particle accelerators underpin some of the most important scientific discoveries and have a wide range of industrial and medical applications, from high-intensity X-rays in materials science to radiotherapy in cancer treatments.
Yet, achieving maximum efficiency and reliability has always been a challenge due to the complexity of these machines. The article outlines how AI, and in particular reinforcement learning, predictive maintenance, and anomaly detection techniques, has started to transform this space by enabling faster tuning, automated diagnostics, and unprecedented operational precision.
“This new frontier of research is bridging traditional physics know-how with state-of-the-art data science,” says Prof Carsten P. Welsch, CI expert and Head of the University of Liverpool’s QUASAR Group. “AI is helping us address challenges we once thought too complex, thereby accelerating future applications in industry and healthcare.”
This development resonates strongly with the QUASAR Group’s mission to pioneer interdisciplinary approaches and push the boundaries of accelerator science. By integrating AI and machine learning into our projects, we are exploring new ways to improve beam stability, optimize accelerator controls, and develop advanced diagnostics. These are all contributing to a new era of high-performing particle accelerators.
Read the full article here:
Artificial Intelligence for Advancing Particle Accelerators