inverse problems

Acoustic and elastic seismic wave propagation and gradients (using the adjoint method).

Monte Carlo sampler for geophysical problems et alia

A project that introduces a Quantum Invertible Neural Network (QINN). The invertible architecture can be trained as a density estimator to perform data generation. Implemented using Pennylane.

A set of example problems solved using HMCLab

This project provides several example implementations of spectrally adapted physics-informed neural networks (PINNs).

Python project for inverse modeling of accelerator lattices.