ModelingToolkitCourse

A standard library of components to model the world and beyond

A Physics-Informed Neural Network to solve 2D steady-state heat equations.

Materials for the book "Python for Mechanical and Aerospace Engineering"

Data driven fault detection in chemical processes: Application to Tennessee Eastman Plant

A data-driven tool to predict the reaction order of homogeneous gas-phase reactions. Includes machine learning experiments on the NIST Chemical Kinetics Database.

Avionics team repository of the UAV-ART project

This project uses Transformer-based RNN model to predict the remaining useful life (RUL) of turbo fan jet engines using NASA's C-MAPSS simulated sensor data.

A curated list of tools, frameworks, resources, and educational content for Aerospace Engineering.

This is an application to convert exported polars from XFLR5 to Excel, automatically

I spend over ten years writing code and applying math and science. in each keystroke I found joy. I see life is a system that has variable entropy (E). Every process (p[i]) generates dE and my job is to understand what dE(p[i]) means.