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

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.

journal_name

Nat Commun

journal_title

Nature communications

authors

Li J,Li J,Liu R,Tu Y,Li Y,Cheng J,He T,Zhu X

doi

10.1038/s41467-020-15728-5

subject

Has Abstract

pub_date

2020-04-27 00:00:00

pages

2046

issue

1

issn

2041-1723

pii

10.1038/s41467-020-15728-5

journal_volume

11

pub_type

杂志文章

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