Autonomous discovery of optically active chiral inorganic perovskite nanocrystals through an intelligent cloud lab

Jiagen Li, Junzi Li, Rulin Liu, Yuxiao Tu, Yiwen Li, Jiaji Cheng (), Tingchao He () and Xi Zhu ()
Additional contact information
Jiagen Li: The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen)
Junzi Li: Shenzhen University
Rulin Liu: The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen)
Yuxiao Tu: The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen)
Yiwen Li: Hubei University
Jiaji Cheng: Hubei University
Tingchao He: Shenzhen University
Xi Zhu: The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen)

Nature Communications, 2020, vol. 11, issue 1, 1-10

Abstract: Abstract 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.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.nature.com/articles/s41467-020-15728-5 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-15728-5

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-020-15728-5

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().