🌊 Numerically solving and backpropagating through the wave equation

Collection of Jupyter notebooks illustrating various techniques in computational acoustics

Code for geophysical 3D/2D Finite Difference modelling, Marchenko algorithms, 2D/3D x-w migration and utilities.

A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs

A Python interface to k-Wave GPU accelerated binaries

Short python samples of recreational mathematics.

A Julia library for simulating, processing, and plotting multiple scattering of waves.

2D multi-source electromagnetic simulations in frequency domain, implementing the augmented partial factorization (APF) and other methods.

Computes effective mode in a 2D wave guide

C++/CUDA implementation of the most popular hyperbolic and parabolic PDE solvers

3D multi-source electromagnetic simulations in frequency domain, implementing the augmented partial factorization (APF) and other methods.

Computational Methods for Numerical Analysis

A simple Matlab implementation for 1D finite element methods for different physical phenomena: Heat transfer (linear/non-linear, steady-state/transient), wave equation (elastodynamics), and Coupled thermo-mechanics.

🕹 Demos of Games 103 (Physics Simulation) Using Unity

Physical optics in Python

Notes and examples on how to solve partial differential equations with numerical methods, using Python.

Computes effective mode in a 1D wave guide

Computes eigen frequencies in a 2D micro-cavity

In numerical analysis, a numerical method is a mathematical tool designed to solve numerical problems. The implementation of a numerical method with an appropriate convergence check in a programming language is called a numerical algorithm

A Mathematica package to calculate exact multiple scattering, in time and frequency, according to the 2D wave equation.