Deep Learning Methods in Mathematical Physics
Speaker: Prof. Ovidiu Calin, Department of Mathematics & Statistics, Eastern Michigan University
Host: S Baskar
Title: Conservation Laws
Time, day and date: 11:30:00 AM – 12:30:00 PM, Monday, February 23
Venue: Ramanujan Hall
Abstract: This lecture focuses on conservation laws and their role as structural constraints in machine-learning models for dynamical systems. We discuss how conservation principles can be incorporated through soft regularization, hard architectural constraints, and integral formulations. The lecture also explores the identification of conserved quantities via functional invariance and Noether’s theorem, highlighting connections between symmetry, Lagrangian and Hamiltonian formulations, and structure-preserving learning.