Contemporary materials discovery requires intricate sequences of synthesis, formulation, and characterization that often span multiple locations with specialized expertise or instrumentation. To accelerate these workflows, we present a cloud-based strategy that enabled delocalized and asynchronous design-make-test-analyze cycles. We showcased this approach through the exploration of molecular gain materials for organic solid-state lasers as a frontier application in molecular optoelectronics. Distributed robotic synthesis and in-line property characterization, orchestrated by a cloud-based artificial intelligence experiment planner, resulted in the discovery of 21 new state-of-the-art materials. Gram-scale synthesis ultimately allowed for the verification of best-in-class stimulated emission in a thin-film device. Demonstrating the asynchronous integration of five laboratories across the globe, this workflow provides a blueprint for delocalizing—and democratizing—scientific discovery.

中文翻译：

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有机激光发射器的离域、异步、闭环发现


当代材料发现需要复杂的合成、配方和表征序列，这些序列通常跨越多个地点并配备专门的专业知识或仪器。为了加速这些工作流程，我们提出了一种基于云的策略，该策略支持非本地化和异步的设计-制造-测试-分析周期。我们通过探索有机固态激光器的分子增益材料作为分子光电子学的前沿应用来展示这种方法。由基于云的人工智能实验规划器精心策划的分布式机器人合成和在线特性表征，最终发现了 21 种最先进的新材料。克级合成最终能够验证薄膜器件中一流的受激发射。该工作流程展示了全球五个实验室的异步集成，为科学发现的非本地化和民主化提供了蓝图。