On behalf of the “Espace de Structure et de réactions Nucléaires Théorique” (ESNT), the workshop entitled: “Machine Learning in Nuclear Physics: Integrative Approaches Across Disciplinary Boundaries” will be held on 8-12 December at CEA-Saclay, Orme-des-Merisiers site.
Nuclear physics research confronts increasingly complex computational and analytical challenges characterized by (i) high-dimensional, non-linear systems, (ii) massive experimental datasets, (iii) computational limitations in traditional modeling approaches and (iv) increasing complexity of theoretical frameworks.
Machine learning (ML) and artificial intelligence (AI) represent a paradigm shift in addressing these fundamental challenges, offering transformative methodological innovations across multiple research domains.
This workshop will focus on fostering collaborations between experts from CEA DAM, DRF, and DES, as well as external specialists in AI and nuclear physics. By uniting diverse expertise, we aim to identify key challenges in nuclear physics where AI can provide transformative solutions, establish methodological frameworks for integrating AI into existing research pipelines and define a strategic roadmap for future research and collaborations in this field.
In summary, the goal of the workshop is to bring together experts from CEA DAM, DRF, and DES to explore ML/AI applications in:
• Nuclear structure modeling
• Fission dynamics
• Nuclear data evaluation
• Experimental data analysis
For details about the updated program, see the ESNT Web pages: https://esnt.cea.fr >> Ateliers 2025
For further information and registration, please contact the organizers of the project (see the Web page of the workshop).