This chapter explores the use of artificial intelligence in materials science, focusing on a model developed by Google DeepMind that improves the prediction of material stability. It discusses the techniques used, including graph neural network models and density functional theory calculations, and highlights the successful discovery of new materials with potential applications.
Deepmind's GNoME AI has 10x'd the number of known stable materials, and more than 736 of them have already been successfully created in the lab. Plus Amazon's new Titan image generation model and Microsoft sets up in the UK.
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