Gogny Conference - Nuclear structure and reactions

Session

Artificial Intelligence

Dec 12, 2024, 11:10 AM

Amphithéâtre Bilski Pasquier

Conveners

Artificial Intelligence

• Paul Indelicato

46. Artificial intelligence for nuclear physics

Dr David Regnier (CEA DAM DIF)

12/12/24, 11:10 AM

The last decade has put artificial intelligence in the spotlight both in science and in our daily life. This boom takes its origin from the wealth of recently designed machine learning algorithms such as generative adversarial networks (2014) or transformers (2017). An other important key to its success is its large accessibility through open source libraries such as TensorFlow and PyTorch...

47. Modeling Low-Density Nuclear Matter with Neural-Network Quantum States

Dr Bryce Fore (Argone National Labotory)

12/12/24, 11:50 AM

The structure of low-nuclear density nuclear matter is of great importance to the physics of neutron star crusts. One of the most significant aspects of this structure is the transition from roughly spherical neutron rich nuclei to uniform matter. Models for both of these extremes exist but the transition is less easily understood. In this presentation I will discuss my results from...

68. Deep learning approach to large scale many-body calculations

Prof. Adriana Pálffy-Buss (Universität Würzburg)

12/12/24, 12:15 PM

Strongly correlated quantum many-body systems pose great computational challenges throughout a plethora of research fields, including quantum chemistry, condensed matter, atomic, and nuclear physics. The difficulty arises from the exponential scaling of the Hilbert space with the total number of single-particle degrees of freedom, e.g. spin, orbital, lattice site, depending on the specific...