# A machine learning-based approach to discover nanocomposite films for biodegradable plastic alternatives

**URL:** https://community.materialssquare.com/t/a-machine-learning-based-approach-to-discover-nanocomposite-films-for-biodegradable-plastic-alternatives/125
**Category:** News
**Created:** [April 15, 2024, 6:48pm UTC](https://community.materialssquare.com/t/a-machine-learning-based-approach-to-discover-nanocomposite-films-for-biodegradable-plastic-alternatives/125 "2024-04-15T18:48:11Z")
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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: [April 15, 2024, 6:48pm UTC](https://community.materialssquare.com/t/a-machine-learning-based-approach-to-discover-nanocomposite-films-for-biodegradable-plastic-alternatives/125/1 "2024-04-15T18:48:11Z")

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This article on Phys org discusses a new approach by researchers at the University of Maryland to discover nanocomposite films that could serve as biodegradable alternatives to conventional plastics. Utilizing advanced machine learning methods combined with molecular science, the team, led by Professor Po-Yen Chen, has developed a process that accelerates the identification of natural materials for use in manufacturing and packaging. This approach integrates automated robotics with machine learning to significantly reduce research time and resource use, promising a sustainable solution for reducing plastic pollution. The full article can be read here:

> **[A machine learning-based approach to discover nanocomposite films for...](https://phys.org/news/2024-04-machine-based-approach-nanocomposite-biodegradable.html)**
>
> The accumulation of plastic waste in natural environments is of utmost concern, as it is contributing to the destruction of ecosystems and is causing harm to aquatic life. In recent years, material scientists have thus been trying to identify...
