AI与自驱动实验室融合，推动化学科学突破性进展
The convergent laboratory: when AI reasoning, autonomous experiments, high performance and quantum computing reshape chemistry
- 整合AI推理与自主实验系统，实现材料发现自动化
- 高性能计算与容错量子处理器协同提升研究效率
- 适合关注智能科研范式变革的化学与材料学者
本文源于TPC26会议（https://tpc26.org），汇聚了来自学术界、国家实验室和产业界的顶尖研究人员，共同探讨人工智能、自主代理、自驱动实验室、高性能计算与量子计算如何协同重塑材料科学发现。随着AI驱动的推理、自主智能体框架、自驱动实验室及容错量子处理器同步成熟，我们在此提出观察，认为化学科学正处在一个转折点，将迎来变革性进展与高效颠覆。
原文摘要 · Abstract (English)
This Comment emerges from TPC26 (https://tpc26.org), a conference convening leaders from academia, national laboratories, and industry who are reshaping materials science discovery. The meeting explored how AI, autonomous agents, self-driving labs, higher performance and quantum computing converge to amplify their individual impact on materials science discovery. The perspectives here reflect the firsthand experiences of researchers at these frontiers and capture the essence of this global endeavor. As AI-driven reasoning, autonomous agentic frameworks, self-driving laboratories, and fault-tolerant quantum processors mature simultaneously, we offer this Comment as a reference at what we believe is a tipping point of transformative advances and productive disruption in the chemical sciences.
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