Graph-based operator learning in arbitrary geometries

The Hybrid Modeling Notebook

Code for the paper "Generative AI for fast and accurate statistical computation of fluids"

A collection of physics databases and implementation code for use with the Pele suite of of codes

Implementation of a spectral hyperviscosity method for incompressible Euler.

Chemical kinetics, thermodynamics, and transport tool suite

2d triangular grid generator by J. D. Muller

An all in one airfoil modelling, meshing, analysis, and optimization tool with built in support for gmsh, SU2, and xfoil

GUI for creating/generating NACA 4-digit airfoils.

2d-3d compressible flow solver

KinetiX - a performance portable code generator for chemical kinetics and transport properties

Code for the paper "Poseidon: Efficient Foundation Models for PDEs"

Transfer learning on PINNs for tracking hemodynamics

ETH Zürich AI in the Sciences and Engineering Master's course 2024

This repository offers a novel approach to determine mixing index in images. By analyzing grayscale pixel values, it estimates tracer percentages (xi), facilitating insights into mixing levels for …

Using numerical methods to find the concentration profile of Carbon in a 1-D steel rod through MATLAB.

This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs

A library for scientific machine learning and physics-informed learning

Simple Finite Element Framework for research and education

Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs

Almost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid

Short example of Navier-Stokes simulation on GPU

ETH course - Solving PDEs in parallel on GPUs

Predicted biomass pyrolysis yields using multilayer perceptron models (ANNs) and RFs.

Employed Random Forest Models for modeling catalyst deactivation trends of gases in dry and steam reforming of biogas.

A regularized logistic regression model built from scratch which is used to predict whether a patient is suffering from Parkinson's disease or is healthy.

A natural time analysis of the Earthquake Cycles in Taiwan by evaluating EPS scores using R and Python.

A basic report and code to apply Kolmogorov Smirnov tests on a given set of data using Jupyter Notebook.