Nature Communications | Autonomous discovery of optically active chiralinorganic perovskite nanocrystals throughan intelligent cloud lab
We constructed an intelligent cloud lab that integrates lab automation with cloud servers and artificial intelligence (AI) to detect chirality in perovskites. Driven by the materials acceleration operating system in cloud (MAOSIC) platform, on demand experimental design by remote users was enabled in this cloud lab. By employing artificial intelligence of things (AIoT) technology, synthesis, characterization, and parameter optimization can be autonomously achieved. Through the remote collaboration of researchers, optically active inorganic perovskite nanocrystals (IPNCs) were first synthesized with temperature-dependent circular dichroism (CD) and inversion control. The inter-structure (structural patterns) and intrastructure (screw dislocations) dual-pattern-induced mechanisms detected by MAOSIC were comprehensively investigated, and offline theoretical analysis revealed the thermodynamic mechanism inside the materials. This self-driving cloud lab enables efficient and reliable collaborations across the world, reduces the setup costs of in-house facilities, combines offline theoretic analysis, and is practical for accelerating the speed of material discovery.
图 1：发现新的光学活性 IPNC 的云实验室工作流程和照片。
图 2：由 MAOSIC 驱动的自主发现的光学主动 IPNC 的结果。
图 3：合成的手性 CsPbBr3 纳米晶体样品的结构鉴定。
图 4：研究激光诱导的 IPNC 手性反转。