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Applied Mathematical Methods in Materials Engineering
😎 Curated list of awesome software for numerical analysis and scientific computing
Extracting Grain Orientations from EBSD Patterns of Polycrystalline Materials Using Convolutional Neural Networks.
Tools to use in EBSD analyses (crystallography, read/write file, etc.).
Read, process and plot EBSD (electron backscatter diffraction) data
📚 Parameterize, execute, and analyze notebooks
⚗ A package useful for chemistry written in Python
Evolver .fe files suitable for modeling grain growth in systems with initial variance in the grain size.
Jupyter notebook class notes for Numerical Methods for PDEs
An open source package and GUI for automatic analysis of micrographs containing morphologically complex multiphase materials. Designed especially for analysis of nanoporous metals and bicontinuous …
Learning numerical computing with notebooks for all ages.
Jupyter notebooks and other materials developed for the Columbia course APMA 4300
High Performance Computing Strategies for Boundary Value Problems
See Website: https://rpi-analytics.github.io/Markdown-RPI/