# Scientists develop new artificial intelligence method to create material ‘fingerprints’

**URL:** <https://community.materialssquare.com/t/scientists-develop-new-artificial-intelligence-method-to-create-material-fingerprints/488>\
**Category:** News\
**Created:** [July 17, 2024, 1:29pm UTC](https://community.materialssquare.com/t/scientists-develop-new-artificial-intelligence-method-to-create-material-fingerprints/488 "2024-07-17T13:29:42Z")\
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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:** [July 17, 2024, 1:29pm UTC](https://community.materialssquare.com/t/scientists-develop-new-artificial-intelligence-method-to-create-material-fingerprints/488/1 "2024-07-17T13:29:42Z")

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Scientists at Argonne National Laboratory have developed a new AI method that creates unique “fingerprints” for materials using X-ray photon correlation spectroscopy (XPCS) and machine learning. This technique maps patterns from XPCS data, helping researchers understand how materials evolve when stressed or relaxed. The AI, specifically an autoencoder neural network, processes complex X-ray scattering patterns, identifying trends without expert training. This innovation, part of the AI-NERD project, enhances the study of material dynamics, with potential for significant impact when the upgraded Advanced Photon Source becomes operational.

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

> **[Scientists develop new artificial intelligence met | Newswise](https://www.newswise.com/articles/scientists-develop-new-artificial-intelligence-method-to-create-material-fingerprints)**
>
> Researchers at the Advanced Photon Source and Center for Nanoscale Materials of the U.S. Department of Energy’s Argonne National Laboratory have develope