🌊 Numerically solving and backpropagating through the wave equation

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

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 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.

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

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

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

🕹 Demos of Games 103 (Physics Simulation) Using Unity

Computational Methods for Numerical Analysis

Physical optics in Python

Computes effective mode in a 1D wave guide

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

Computes eigen frequencies in a 2D micro-cavity

ParaDiag includes diagonalization-based Parallel-in-Time (PinT) algorithms, which can handle both both dissipative and hyperbolic equations.

Computational lab to provide the students with interactive simulations that help them to comprehend the concepts of seismology.