What’s new in materials AI
AI can help us write. Can it help us discover new materials?
Explore how AI could help us choose materials for energy conversion, cooling and a more sustainable future.
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Articles
Simple explanations and interactive examples about materials, images and data.
New interactive game
Can you rebuild this microstructure?
Generate colored patterns, guess the component count, then watch PCA reconstruct the image.
Start here
SVD, explained with a small picture
Build a picture one layer at a time. Start with everyday comparisons, then try the interactive example.
PCA series · Part 1 of four
Why do we need PCA for materials data?
Begin with five measurements from 300 specimens and see why a simpler picture is useful.
PCA series · Part 2 of four
Eigenvectors and eigenvalues: begin with a stretching sheet
Stretch a sheet, follow the arrows and understand the numbers before writing a matrix.
PCA series · Part 3 of four
Mean, variance and covariance in materials measurements
Use specimen measurements to understand averages, differences, relationships and scaling.
PCA series · Part 4 of four
From five measurements to a PCA picture
Combine five features, explore projection and run a checked Python example in small steps.
Machine learning
A good fit is not always a good prediction
Change the model and the noise to compare fitting the observations with predicting the underlying trend.
Materials design
Why even a small alloy design space becomes large
Count possible compositions and processing choices with an interactive design-space example.
Image analysis
Fourier Transforms Made Easy
Understand image frequencies, Fourier space and what changes when an image is transformed.
Materials data
Uncovering the Potential of Materials Data using Matminer and Pymatgen
Learn how materials data and descriptors connect to machine-learning problems.
Image analysis
Materials Data Mining via Image Processing of Micrographs - I
Look at the information contained in micrographs and how image analysis can reveal it.
Image analysis
Materials Data Mining via Image Processing of Micrographs -II
Explore practical image measurements and their interpretation.
Tutorial
Shapley Value aided Recipe for Materials Design
Use feature contributions to examine how a model arrives at its predictions.
Machine learning
Accelerated Materials Design Using Multi-Target Regression Neural Network and Shapley Values
Follow the basic ideas behind learning from data with a neural network.
Image analysis
Exploring Hierarchical Materials
Explore how structures at different scales contribute to the behavior of hierarchical materials.
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