Collection of Jupyter notebooks illustrating various techniques in computational acoustics
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Updated
Oct 23, 2018 - Jupyter Notebook
Collection of Jupyter notebooks illustrating various techniques in computational acoustics
Simple frequency domain full-waveform inversion (FWI) regularized by Sobolev space norm
Julia package for solving singular integral equations
Computes effective mode in a 2D wave guide
Wave propagation framework for Python 3. Documentation and examples: https://wave-propagation.readthedocs.io/
Finite element analysis of steady state 2D heat transfer problems. Heat transfer occurs when there is a temperature difference within a body or within a body and its surrounding medium. Conduction and convection problems are solved using this software
Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf
Official repository for the "Multiple wavefield solutions in physics-informed neural networks using latent representation" paper.
Finite element method for solving the electromagnetic Helmholtz equation. Based on scikit-fem and scipy.
FDFD solver for Helmholtz equation in 2D written in julia
Neural Operators with Applications to the Helmholtz Equation
collection of thermodynamic models, using ThermoState.jl
Computes eigen frequencies in a 2D micro-cavity
Computes effective mode in a 1D wave guide
Computes eigen frequencies in a 3D micro-cavity
Abstract Definitions and Functions to establish a thermodynamic library in julia
Gaussian process PDE solvers that combine linear PDEs with linear inequality constraints and solve complex-valued Helmholtz field problems.
2D full-waveform inversion (FWI) in PyTorch: frequency-domain acoustic Helmholtz solvers, PML/free surface, multiscale inversion, Hessian uncertainty, and Marmousi tutorials.
Computes eigen frequencies in a 1D micro-cavity
Some basic self-learning code in optical computation.
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