PV-Lab/ZoMBI
Zooming Memory Based Initialization (ZoMBI) algorithm for discovery of optima within challenging needle-in-a-haystack (extreme data imbalance) datasets.
This tool helps materials scientists and engineers efficiently discover new materials with specific, rare properties. You input a large dataset of material characteristics and their performance (like Poisson's ratio) and the tool quickly identifies the precise combinations of properties that yield the desired, hard-to-find outcomes. It's for anyone designing or optimizing materials where only a tiny fraction of possibilities are useful.
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Use this if you are searching for rare, optimal material properties within a vast dataset, much like finding a 'needle in a haystack', and need to accelerate your material discovery process.
Not ideal if your optimization problem has a smooth, continuous solution space with many good options, rather than a few sharply defined optimal points.
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Jupyter Notebook
License
MIT
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Last pushed
Feb 14, 2024
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