Including but not limited to the following contents:
Track 1: Computational Electromagnetics
Computational Electromagnetics methods and algorithms
Integral equations and differential equations methods
Time-domain finite difference and finite element methods
Matrix methods and fast algorithms
Mixed and multi-scale modeling techniques
High-frequency and large-scale electromagnetic problems
Electromagnetic scattering and inverse scattering
Electromagnetic compatibility and electromagnetic interference modeling
Antenna and microwave device modeling
Electromagnetic calculations of metamaterials and superstructures
Optimization and inverse problem solving
High-performance computing and parallel acceleration
Artificial intelligence-assisted electromagnetic computation
Applications of quantum computing in electromagnetics
Electromagnetic simulation and CAD tools
Track 2: Multi-physics Fields and Numerical Simulation
Multi-physics field coupling theories and methods
Multi-scale modeling and scale connection
Electromagnetic-thermal-structural coupling simulation
Fluid-solid coupling and multiphase flow simulation
Cross-scale information transfer and reduced-order models
Numerical methods and discretization formats
Mesh generation and adaptive techniques
Meshless and isogeometric analysis methods
Uncertainty quantification and stochastic modeling
Proxy models and response surface methods
Digital twin and real-time simulation
Machine learning-enhanced numerical simulation
Multi-physics field optimization and inversion
Application of multi-field coupling in complex systems
High-performance computing and cloud simulation platforms