Key research themes
1. How have meshless numerical methods evolved to improve accuracy and computational efficiency for solving PDEs in complex geometries?
This research theme investigates the development and advancement of meshless methods as alternatives to traditional mesh-based techniques (like FEM and FDM) for discretizing and solving partial differential equations, focusing on performance optimization, boundary condition enforcement, adaptivity, and stability improvements that address complex, irregular, or evolving geometric domains.
2. What mesh generation and optimization strategies enhance quality, adaptivity, and computational efficiency of polygonal and polyhedral meshes for numerical simulation?
This theme covers research on generating and optimizing meshes—ranging from triangular to polyhedral and hexahedral meshes—that adapt to complex domain topologies and geometries, preserve geometric features, and improve numerical simulation accuracy and convergence. It includes algorithms for mesh quality improvement, topological constraints management, mesh simplification with minimal loss of fidelity, and parallel methods to accelerate mesh generation.
3. How can advanced geometric parameterization and mesh morphing techniques be integrated into numerical solvers to improve shape optimization workflows?
This research focus addresses the interconnection between parametric shape description and mesh management in computational simulations, particularly techniques that directly manipulate mesh node positions ('mesh morphing') to avoid costly remeshing, improve computational robustness, and enable rapid design iterations within simulation-driven optimization frameworks.