AI 基建逼近物理极限，先进材料成关键一环
AI 基础设施正撞上材料的物理极限，而 AI 自身又被用来加速新材料发现，两者开始形成互相加速的正循环。
AI 热潮正在变成一场材料挑战：半导体和数据中心在性能、散热、能效和可靠性上逼近物理极限（散热指把芯片与机房产生的热量导出，常见做法是风冷或液冷），对材料提出同时满足多项指标的新要求。反过来，AI 也在帮材料科学家搜索海量分子组合，加快方案开发。
正文摘录
The AI boom is becoming a materials challenge. As AI pushes computing into new territory, the materials behind that infrastructure are becoming just as crucial as the algorithms running on it. Semiconductors and data centers are approaching physical limits around performance, thermal management, electrical efficiency, and reliability, creating new demands for materials that can do more at once. At the same time, AI is giving materials scientists new ways to search the enormous universe of possible molecules and accelerate the development of solutions. For Mike Finelli, chief technology and innovation officer and chief North America officer at Syensqo, that convergence is transforming what advanced materials can enable. “AI is now, from a material standpoint, really pushing semiconductors a…