Ronald Katende
1 indexed paper
Recent (6 mo)
1With code
0Influential cites
0Benchmarked
0Publications per year
126
Top categories
Numerical Analysis×1Comp. Eng.×1ML×1
Frequent co-authors
Research Timeline
2026
Physics-Informed Residuals for Adaptive Mesh Refinement in Finite-Difference PDE Solvers
The paper proposes using a Physics-Informed Neural Network (PINN) residual as an efficient, physics-guided indicator to guide adaptive mesh refinement (AMR) for classical finite-difference PDE solvers, significantly reducing required degrees of freedom.
Highlighted terms show continued research focus across papers