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Implementation of the collocation method PINN for dogbone specimen using Feed Forward Neural Networks and Kolmogorov-Arnold Networks
Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
oneAPI Threading Building Blocks (oneTBB)
[Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled Training; Rollout Metrics)
Supersonic TuRbulEnt Accelerated navier stokes Solver
Interactive, hierarchical, database-driven plotting
Collection of tutorials for OpenSMOKE++ solvers
Collection of Matlab codes to solve typical CRE (Chemical Reaction Engineering) problems
Do you work with chemical reactors? Are you curious about them? ASALI is the open-source code that you are looking for. Chemical reactor models, transport/thermodynamic properties of gases, equilib…
Knowledge Graph Embedding for Experimental Uncertainty Estimation
Kinetic Models in chemkin format for gas, liquid, solid and surface combustion, gasification, and pyrolysis
Powerful, efficient particle trajectory analysis in scientific Python.
PruneDeepONet. If anyone is interested in turning this into a full-fledged research please contact me. I'm happy to colab.
Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey
A step-by-step introduction to deep learning (a.k.a. neural network) models for scientists and engineers.
A set of learning modules in computing for engineering undergraduate students.
MyPTV is an open source library designed for 3D particle Tracking (3D-PTV) measurements
Pseudo-spectral code for DNS of Homogenous isotropic turbulence. Scalars and particles are also supported.
FLOW36: A GPU-ready spectral code for DNS of multiphase turbulence based on the phase-field approach.
The textbook Computational and Inferential Thinking: The Foundations of Data Science
A python based infrastructure for cloud large eddy simulation.
A Python tool for assessing the Ballistic Limit Of Spacecraft Structures Under Micrometeoroid and orbital debris impact
A comprehensive physics-informed machine learning framework for predicting laminar-to-turbulent transition in hypersonic flows. This repository combines traditional stability analysis with modern d…