Journal
NATURE COMMUNICATIONS
Volume 11, Issue 1, Pages -Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/s41467-020-15728-5
Keywords
-
Categories
Funding
- Shenzhen Fundamental Research Foundation [JCYJ20170818103918295, JCYJ20180508162801893, JCYJ20190808121211510]
- National Natural Science Foundation of China [21805234, 2019-INT018, 2020-IND002]
- Shenzhen Institute of Artificial Intelligence and Robotics for Societ (AIRS)
Ask authors/readers for more resources
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 intra-structure (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. Synthetic platforms coupled with artificial intelligent algorithms are highly desirable for advancing the discovery of new materials with target properties. Here the authors demonstrate the use of an autonomous laboratory for the discovery of optically active CsPbBr3 inorganic perovskite nanocrystals.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available