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《麻省理工科技评论》 第129卷 第1期 · 2026年1月刊 · 中文解读

下一代材料

The next materials · David Rotman
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本文探讨了初创公司如何利用人工智能加速材料发现,通过自动化实验室和AI代理来缩短新材料的研发周期。
原文开头
Photographs by Cody O’Loughlin Startups flush with cash are betting they can use AI to unlock materials discovery by making laboratory work faster and more efficient. The microwave-size instrument at Lila Sciences in Cambridge, Massachusetts, doesn’t look all that different from others that I’ve seen in state-of-the-art materials labs. Inside its vacuum chamber, the machine zaps a palette of different elements to create vaporized particles, which then fly through the chamber and land to create a thin film, using a technique called sputtering. What sets this instrument apart is that artificial intelligence is running the experiment; an AI agent, trained on vast amounts of scientific literature and data, has determined the recipe and is varying the combination of elements. …
摘自《麻省理工科技评论》(MIT Technology Review)第129卷 第1期 · 2026年1月刊,David Rotman。仅引用开头一小段供了解文章,版权归原刊所有,全文请阅读原刊。
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