Nuclear Data for the Next Decade

Session

Machine Learning for Nuclear Data

003

10 mars 2026, 09:00

Amphithéâtre Bilski Pasquier

Présidents de session

Machine Learning for Nuclear Data

• David Regnier (CEA, DAM, DIF)

18. The CGMF code versus ML

Dr Amy Lovell (LANL)

10/03/2026 09:00

Challenges of Nuclear Data: Machine Learning

19. Deep-learning nuclear cross sections

Nicolas Schunck (LLNL)

10/03/2026 09:25

Challenges of Nuclear Data: Machine Learning

Beyond their many impacts in our societies, artificial intelligence and machine learning are also often seen as representing a paradigm shift in scientific research. Their unsurpassed ability to learn complex patterns in large datasets have found multiple applications ranging from designing powerful emulators of complex theories, to processing massive amounts of data to opening new ways to...