Transverse Symplectic Foliation Structure for Thermodynamics-Informed Neural Networks

Learn about transverse symplectic foliation structure and its applications to thermodynamics-informed neural networks in this advanced mathematics lecture presented at the Erwin Schrödinger International Institute's Thematic Programme on "Infinite-dimensional Geometry: Theory and Applications." Explore cutting-edge mathematical concepts as part of a comprehensive series examining infinite-dimensional geometry, its theoretical foundations, and practical implementations. Delve into the intersection of differential geometry, thermodynamics, and machine learning through this hour-long academic presentation delivered during the January-February 2025 programme at ESI.