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To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to the direction of travel of information in convection-diffusion equations, i.e., method of characteristic; The repository includes a pytorch implementation of PINN and proposed LPINN with periodic boundary cond…
Applying the finite-difference method to the Convection Diffusion equation in python3. Examples included: One dimensional Heat equation, Transport equation, Fokker-Plank equation and some two dimensional examples.
This repository contains the MATLAB implementation of popular numerical methods in Computation Fluid dynamics. Starting from simple methods like Gauss Elimination, ADI method to advance methods like Rhie-chow interpolation, SIMPLE are implemented. This was done as a part of the CFD course offered at IIT Gandhinagar 2021.
Se calcula varios LIS, soluciones de Campo de Fuerza, Convección-Difusión, semblanza entre la función de rendimiento atmosférico, manchas solares, campo magnético solar.
Method components (convection-diffusion residual, release-schedule optimizer) for PINN-based pulsatile flow and targeted drug delivery (J. Pharmacy and Bioallied Sciences, Dec 2025). Not a runnable pipeline — see Status.
This thesis presents the numerical implementation and validation of self-developed computational solvers for 2D fluid flow and heat-transfer problems. The main objective is to build a progressive numerical framework capable of solving conduction, convection-diffusion and incompressible Navier-Stokes problems using Python.