samuel chen
samuelchenn.com · 4,290 words · saved by 2 readers
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The AI for materials space has been picking up a lot of steam—materializing, even. With frontier labs Periodic, Cusp, Radical, Google DeepMind, and Lila focusing heavily on materials, national labs kicked into high gear with Project Genesis, and broader momentum in AI for science, the dream of autonomous materials discovery seems to be on the near horizon. And it truly would be a dream. The rapid discovery and improvement of materials could lead to revolutions across compute, energy, advanced materials and usher in a new era of human abundance. However, many breakthroughs in research have had
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