# AI accelerates discovery of next-gen polymers

**URL:** https://community.materialssquare.com/t/ai-accelerates-discovery-of-next-gen-polymers/574
**Category:** News
**Created:** [August 21, 2024, 11:52am UTC](https://community.materialssquare.com/t/ai-accelerates-discovery-of-next-gen-polymers/574 "2024-08-21T11:52:39Z")
**Posts on this page:** 1
**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: [August 21, 2024, 11:52am UTC](https://community.materialssquare.com/t/ai-accelerates-discovery-of-next-gen-polymers/574/1 "2024-08-21T11:52:39Z")

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Researchers at Georgia Tech are using AI to accelerate the discovery of next-generation polymers. By employing machine learning models, they can predict polymer properties and design new materials for applications like energy storage, filtration, and recyclable plastics. These AI-driven processes enable faster material discovery, moving from digital predictions to real-world validation. Significant advancements include the development of polymers for capacitors with high energy density and thermal stability. The research highlights the growing industrial adoption of AI in materials science, supported by startups like Matmerize.

For more details, you can read the full article here:

> **[AI accelerates discovery of next-gen polymers](https://phys.org/news/2024-08-ai-polymers-future.html)**
>
> Nylon, Teflon, Kevlar. These are just a few familiar polymers—large-molecule chemical compounds—that have changed the world. From Teflon-coated frying pans to 3D printing, polymers are vital to creating the systems that make the world function...