(Include but not limited to)
Track 1: Computer Simulation and Modeling Methods
Computer Simulation Theory and Methods
Continuous System Modeling and Simulation
Discrete Event System Modeling and Simulation
Agent-Based Modeling and Simulation
Multi-Physical Field Coupling Modeling and Simulation
Multi-Scale Modeling and Cross-Scale Simulation
Stochastic Modeling and Monte Carlo Simulation
System Dynamics Modeling and Simulation
Complex System Modeling and Simulation
Model Order Reduction and Agent-Based Modeling Methods
Model Verification, Calibration and Confirmation (VV&A)
Uncertainty Quantification and Sensitivity Analysis
Simulation Optimization and Experimental Design
Digital Twin and Simulation Technology
Virtual Prototyping and Virtual Testing Technology
Real-time Simulation and Hardware-in-the-Loop Testing
Track 2: Scientific Computing and Numerical Methods
Scientific Computing Theory and Methods
Numerical Analysis and Numerical Simulation
Finite Element Method and Finite Difference Method
Finite Volume Method and Computational Fluid Dynamics (CFD)
Boundary Element Method and Meshless Method
Spectral Method and High-Precision Numerical Formats
Numerical Linear Algebra and Matrix Computation
Numerical Solution Methods for Nonlinear Equations
Ordinary Differential Equations and Partial Differential Equations Numerical Solution Methods
Stochastic Differential Equations and Stochastic Analysis
Inverse Problems and Parameter Identification
Optimization Algorithms and Scientific Computing
Convergence and Stability Analysis of Numerical Methods
Structural-preserving Algorithms and Geometric Numerical Integration
Machine Learning Methods in Scientific Computing
Physical Information Neural Networks and Data-Driven Modeling
Track 3: High-Performance Computing and Cross-Applications
High-Performance Computing Architecture and System
Parallel Computing and Distributed Computing
GPU Acceleration and Heterogeneous Computing
Large-scale Numerical Simulation and Scientific Computing
Application of Cloud Computing and Edge Computing in Scientific Computing
Modeling and Optimization of High-Performance Computing Performance
Parallel Algorithm Design and Optimization
Fault Tolerance and Reliability in High-Performance Computing
Energy Optimization and Green Computing in High-Performance Computing
Integration of Big Data and High-Performance Computing
Integration of Artificial Intelligence and High-Performance Computing
Cross-Application of Quantum Computing and Scientific Computing
Computational Mechanics and Engineering Simulation
Computational Materials Science and Multi-Scale Simulation
Digital Twin and High-Performance Simulation
Scientific Computing Workflow and Automation
......