Official git repository of Elmer FEM software
AI-driven inverse antenna design with real NEC2 + openEMS in the loop. Try the live in-browser playground.
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
🌌 A collaborative list of awesome software for exploring Physics concepts
Netgen/NGSolve is a high performance multiphysics finite element software. It is widely used to analyze models from solid mechanics, fluid dynamics and electromagnetics. Due to its flexible Python interface new physical equations and solution algorithms can be implemented easily.
🦐 Electromagnetic Simulation + Automatic Differentiation
fast, large scale photonic simulation platform
This is the code for the paper "RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction", IEEE TCCN.
An electromagnetic field computation program
Electromagnetic simulation (RCWA) & optimization package in Python
open source MLFMA (multi level fast multipole algorithm) or open source MLFMM (multi level fast multipole method)
Python code for T-matrix scattering calculations
A suite of photonic inverse design challenge problems for topology optimization benchmarking
A collection of forward and inverse Mie solving routines for Python 3, based on Bohren and Huffman's Mie Theory derivations
An End-to-End Differentiable Platform for Integrated Subsurface Modeling
Electromagnetic methods in geophysics - open educational resources.
Efficient electromagnetic solver based on rigorous coupled-wave analysis for 3D and 2D multi-layered structures with in-plane periodicity, such as gratings, photonic-crystal slabs, metasurfaces, surface-emitting lasers, nano-antennas, and more.
EM3DVP: a Visual Package for 3D Geo-Electromagnetic modeling and inversion
Pure Python implementation of the finite difference frequency domain (FDFD) method for electromagnetics
GPU-accelerated electromagnetic FDTD for large-scale simulations, compact modeling and inverse design / gradient-based optimization of nanophotonic devices with Python.
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