突破想象！AI机器人成为实验室“主力军”

Core Insights - The article discusses the transformation of chemical research through the use of AI-driven "smart scientists" that can autonomously design and conduct experiments, significantly reducing the time and cost associated with material development [1][2]. Group 1: AI Integration in Research - The "smart scientists" in the Precision Intelligent Chemistry National Key Laboratory consist of 110 units that can perform various laboratory tasks autonomously, including reagent preparation and sample synthesis, while synchronizing data in real-time [1]. - These AI systems can analyze scientific papers, generate experimental designs, and learn from existing research, effectively functioning as a "scientist's brain" [2]. Group 2: Development and Capabilities - The development of the AI platform took three years, during which the research team compiled over one million chemical data points and integrated expert knowledge to enhance the AI's understanding of complex chemistry [3]. - The first iteration, named "Xiao Lai," was capable of performing 2,000 precise operations daily, equivalent to the work of five to six researchers, and successfully identified optimal formulations for Mars oxygen catalysts in just six weeks [3]. Group 3: Future Applications and Goals - The latest iteration of the AI, referred to as "Xiao Lin," aims to achieve complete autonomous research capabilities, potentially discovering new research directions and enabling non-chemistry professionals to create new materials [4]. - The "smart scientists" are expected to produce innovative materials, such as phase-change thermal insulation and flame-retardant materials, which have already undergone industrial testing and are being applied in various sectors [4].