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Revolutionizing Material Discovery with AI
This chapter examines the transition from traditional experimental methods in material science to the integration of AI-enhanced computational techniques. It highlights breakthroughs in material discovery, such as the AI model Nome, which expanded the known stable inorganic materials drastically and opened pathways for alternatives to traditional lithium-ion batteries. The discussion also touches on the quest for room temperature superconductors and the future implications of marrying AI with material science.