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title: A better way to model the behavior of metal alloys
description: MIT researchers developed a machine-learning-based technique to accurately model chemically disordered metal alloys without expensive brute-force computation....
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# A better way to model the behavior of metal alloys

**[MIT News](https://daily.dev/sources/mit)** · 6 min read · 0 upvotes · 0 comments

## Summary

MIT researchers developed a machine-learning-based technique to accurately model chemically disordered metal alloys without expensive brute-force computation. The key innovation is using information theory to build training datasets that capture a wider diversity of local atomic environments, reducing redundancy and improving model accuracy. Models trained on these datasets outperformed larger models from Google and Microsoft, and successfully predicted phase diagrams matching experimental data. The approach could accelerate materials design for aerospace, energy, and computing applications.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://news.mit.edu/2026/better-way-to-model-metal-alloys-behavior-0619>

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Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#science](https://daily.dev/tags/science)

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