Climate Modeling with Neural Advection-Diffusion Equation, Springer KAIS
Meshless Generalized Finite Differences (mGFD) solver and reference point-cloud datasets for 2D PDEs on irregular domains, with reproducible batches and benchmarks.
Classical Finite Differences Schemes for numerically solve different Partial Differential Equations.
Sandbox for random tests
A PI-DeepONet implementation to learn operators of the 1D Advection-Diffusion-Reaction equation. Comparison between Pytorch and JAX
FVM Unstructured Grid Code for Advection-Diffusion Equation
Solving-the-Advection-Diffusion-Equation-Using-PI-KAN-and-NeuroMANCER
GWEEE: Error-guided mesh adaptation techniques for efficient and accurate simulation of the advection-diffusion equation
Pedro Paulo Nogueira Mendonça (ppjmendonca@ufu.br)
True Error-Based Mesh Adaptation Strategy for the Advection-Diffusion Equation
Some useful python scripts for numerical schemes!!
Classical Finite Differences Schemes for numerically solve different Partial Differential Equations.
Adaptive mesh refinement framework for 1D and 2D PDEs with dynamic refinement, prolongation, restriction, subcycling, and conservative flux correction.
TCPAT2 is a tool for analysing temporal concentration profiles, such as those used in river tracing.
A numerical solver in C++ for the incompressible Navier Stokes, Burgers and advection-diffusion equations, currently supporting 1D and 2D formulation. Equation solved using the Finite Difference Method (FDM).
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