# Predictions for the 2024 chemistry prize highlight growing importance of AI and computational methods

**URL:** <https://community.materialssquare.com/t/predictions-for-the-2024-chemistry-prize-highlight-growing-importance-of-ai-and-computational-methods/681>\
**Category:** News\
**Created:** [September 24, 2024, 2:16pm UTC](https://community.materialssquare.com/t/predictions-for-the-2024-chemistry-prize-highlight-growing-importance-of-ai-and-computational-methods/681 "2024-09-24T14:16:19Z")\
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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:** [September 24, 2024, 2:16pm UTC](https://community.materialssquare.com/t/predictions-for-the-2024-chemistry-prize-highlight-growing-importance-of-ai-and-computational-methods/681/1 "2024-09-24T14:16:19Z")

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Predictions for the 2024 Nobel Prize in Chemistry emphasize the rising importance of artificial intelligence (AI) and computational methods. Contenders include Roberto Car and Michele Parrinello for their molecular dynamics technique, and John Jumper, Demis Hassabis, and David Baker for developing AlphaFold, which revolutionized protein structure prediction. Kazunari Domen’s work on light-activated catalysts for hydrogen production is also highlighted. These advancements reflect the growing role of AI and computational approaches in modern chemistry.

Full article here:

> **[Predictions for the 2024 chemistry prize highlight growing importance of AI...](https://www.chemistryworld.com/news/predictions-for-the-2024-chemistry-prize-highlight-growing-importance-of-ai-and-computational-methods/4020172.article)**
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> Protein structure prediction, efficient simulations and clean energy among the fields tipped for recognition by chemistry's top prize