- Published on 14 November 2023
Over the past few years, machine learning has been revolutionizing particle physics. Modern machine learning techniques, including deep learning, are rapidly being applied, adapted, and developed for high energy physics. This EPJ ST special issue will feature some articles which will review some aspects of the natural synergy between machine learning and theoretical and experimental particle physics. The editors of this special issue attempt to bring in contributions from enthusiastic and highly active researchers. Several expert theorists and experimentalists have already agreed to contribute to this collection. Should you wish to contribute, please write to the Guest Editors Biplob Bhattacherjee and Swagata Mukherjee to see how your contribution may fit into the collection.
Open calls for papers
EPJ D Topical Issue: Electron and Positron Interactions and Their Applications: a tribute to Professor Michael Brunger(EPJ D)
EPJ H Special Issue: History for Physics: Contextualizing modern developments in the foundations of quantum theory(EPJ H)
EPJ N Topical Issue on Research Reactor use and projects on modeling and experimental breakthroughs for Advanced Nuclear Reactors(EPJ N)