Torch based framework for PDE solving with Green's functions
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Updated
Jun 1, 2024 - Python
Torch based framework for PDE solving with Green's functions
A 2D linear convection solver using Summation-By-Parts (SBP) discretization methods.
Three projects from CC3501 - Modeling and Computer Graphics for Engineers (5th semester of Computer Science Engineering at FCFM, University of Chile).
Solution methods for the streamfunction equation and animating time evolution of vorticity
An implementation of ordinary and partial differential equations solvers using undirected graphs in C++
Here's a series of undergrad level physics projects to practice the basics of scientific python and common numerical methods. I wrote much of this during my undergrad years and found these quite useful in getting me comfortable with day-to-day computational work as a grad student.
Repository of the project for the exam Numerical Method for PDE, Politecnico of Turin
Physics-informed neural networks(PINN) use universal function approximators to integrate knowledge of physical laws described by PDEs into the learning process, addressing data scarcity in biological and engineering systems.
Implementation of the method of characteristics for solving PDEs in Simulink
Solving partial differential equations with neural networks
Code used to perform the numerical simulations in my PhD Thesis
CUDA implementation of "Monte Carlo Geometry Processing"
High performance computing. Course material, practice exercises and final project.
1D and 2D axisymmetric solvers for reaction-advection-diffusion PDE. Also includes applications: parameter sweep, parameter sensitivity analysis (SALib), parameter optimisation (PSO - pyswarms).
Sources of my term paper for differential equations calss, developed during my study at Shirak State University
Solving partial differential equations with PINNS (Direct and Inverse Problem)
A simple Finite Difference Time Domain (FDTD) solver for Maxwell equations
Wind modelisation Project with FEniCS
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