Thermodynamics powered by Machine Learning
-
Updated
May 7, 2021 - Python
Thermodynamics powered by Machine Learning
Materials that are dependent on conditions
Microstructure vision-based porosity analysis
Study of molecular motion of Glycerol using NMR modeling and simulations
PressureX is an engineering evaluation package for a passive layered structural mitigation concept using shear-thickening fluid behavior to broaden impulsive loads and reduce peak transmitted response in high-vibration aerospace structures. Targets are design-intent until validated.
A small-scale Extract-Transform-Load framework focused on materials characterization
Brass tensile test analysis using MATLAB: stress–strain visualization, elastic-region fitting, yield determination, and mechanical properties extraction.
Add a description, image, and links to the materials-engineering topic page so that developers can more easily learn about it.
To associate your repository with the materials-engineering topic, visit your repo's landing page and select "manage topics."