The Applied & Computational Mathematics for Physics session focuses on the mathematical methods, numerical algorithms, and computational models that form the foundation for solving complex physical problems across multiple scales -from quantum mechanics to astrophysics.
This session highlights the synergy between theory, computation, and application, emphasizing how advanced mathematics enables breakthroughs in fluid dynamics, plasma physics, solid mechanics, thermodynamics, electromagnetism, and quantum systems.
Discussions will explore analytical modeling, numerical simulation, and data-driven computation, including topics like partial differential equations (PDEs), variational formulations, high-performance computing (HPC), optimization, and machine learning for physical systems.
The session aims to provide a platform for mathematicians, physicists, and engineers to exchange insights on modern computational frameworks, mathematical modeling techniques, and algorithmic innovations that advance our understanding of the physical world.