# Research to use machine learning to ’reverse-engineer’ new composite materials

**URL:** https://community.materialssquare.com/t/research-to-use-machine-learning-to-reverse-engineer-new-composite-materials/743
**Category:** News
**Created:** [October 9, 2024, 3:38pm UTC](https://community.materialssquare.com/t/research-to-use-machine-learning-to-reverse-engineer-new-composite-materials/743 "2024-10-09T15:38:32Z")
**Posts on this page:** 1
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### Author: ![gabriele1](https://yyz1.discourse-cdn.com/flex003/user_avatar/community.materialssquare.com/gabriele1/32/20_2.png) [@gabriele1](https://community.materialssquare.com/u/gabriele1)
#### Post date: [October 9, 2024, 3:38pm UTC](https://community.materialssquare.com/t/research-to-use-machine-learning-to-reverse-engineer-new-composite-materials/743/1 "2024-10-09T15:38:32Z")

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Research to use machine learning to ’reverse-engineer’ new composite materials

Professors receive NSF grant for deep-learning model that can customize microarchitecture based on specific needs

For more details, please see the link to the full article below:

> **[Research to use machine learning to ’reverse-engineer’ new composite materials](https://www.eurekalert.org/news-releases/1060635)**
>
> Professors at Binghamton University, State University of New York have received a grant from the National Science Foundation for a deep-learning model that can customize microarchitecture based on specific needs.

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