EPJ ST Special Issue: Modern machine learning and particle physics: An in-depth review

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.

Guest Editors:

Prof. B. Bhattacherjee, Centre for High Energy Physics, Indian Institute of Science, Bangalore 560 012, India, This email address is being protected from spambots. You need JavaScript enabled to view it.

Dr. Swagata Mukherjee, Department of Physics, Indian Institute of Technology, Kanpur, 208016, India, This email address is being protected from spambots. You need JavaScript enabled to view it.

Open calls for papers