AI in Material Science
Recent advancements in AI have sparked discussions about their tangible contributions to material science. Ekin highlights that while simulations have been utilized for decades, the real challenge remains in translating these discoveries into practical applications. Notable examples, like the use of specific cathode materials in batteries, showcase progress, but the journey from prediction to product still has hurdles to overcome.In this clip
From this podcast
Catalyst with Shayle Kann
Can AI revolutionize materials discovery?
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