# The race to find new materials with AI needs more data. Meta is giving massive amounts away for free **URL:** \ **Category:** News\ **Created:** [October 21, 2024, 11:11am UTC](https://community.materialssquare.com/t/the-race-to-find-new-materials-with-ai-needs-more-data-meta-is-giving-massive-amounts-away-for-free/784 "2024-10-21T11:11:14Z")\ **Posts on this page:** 1\ **Page:** 1
**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 21, 2024, 11:11am UTC](https://community.materialssquare.com/t/the-race-to-find-new-materials-with-ai-needs-more-data-meta-is-giving-massive-amounts-away-for-free/784/1 "2024-10-21T11:11:14Z")
This article from MIT Technology Review discusses how AI is accelerating the search for new materials, but it highlights the challenge of insufficient high-quality data. In response, Meta (Facebook’s parent company) is offering large amounts of materials data to researchers for free, aiming to bridge this gap and enhance AI-driven material discovery. The move is intended to boost innovation in fields such as energy storage and sustainable technologies by providing the necessary data to train AI systems more effectively and unlock new material solutions. Please continue reading the full article under the following link: > **[The race to find new materials with AI needs more data. Meta is giving...](https://www.technologyreview.com/2024/10/18/1105880/the-race-to-find-new-materials-with-ai-needs-more-data-meta-is-giving-massive-amounts-away-for-free/)** > > Open Materials 2024 will be one of the biggest data sets available for materials science. #materials #materialsscience #materialsengineering #computationalchemistry #modelling #chemistry #researchanddevelopment #research #MaterialsSquare #ComputationalChemistry #Tutorial #DFT #simulationsoftware #simulation