Explores the applications and challenges of Neural Quantum States in computational quantum science, including frustrated spins and quantum chemistry mappings.
Delves into fragmentation in spin ice systems, covering magnetic ice rules, monopole vacuum, emergent gauge fields, topological defects, and quantum Monte Carlo simulations.
Introduces Scientific Machine Learning, emphasizing its application in various scientific fields and the connection between machine learning and physics.