2020
DOI: 10.1038/s41467-020-15728-5
|View full text |Cite
|
Sign up to set email alerts
|

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 researche… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
116
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 99 publications
(121 citation statements)
references
References 51 publications
1
116
0
Order By: Relevance
“…20 Recently, CD has been observed in QDs and nanorods which have not been activated by chiral molecules. [26][27][28] This is surprising since observation of chiro-optic activity in randomly oriented nanoparticles requires chirality. To explain this observation the authors of Ref.…”
mentioning
confidence: 99%
“…20 Recently, CD has been observed in QDs and nanorods which have not been activated by chiral molecules. [26][27][28] This is surprising since observation of chiro-optic activity in randomly oriented nanoparticles requires chirality. To explain this observation the authors of Ref.…”
mentioning
confidence: 99%
“…Apapted under the terms of a Creative Commons Attribution 4.0 International License. [ 135 ] Copyright 2020, The Authors, published by Springer Nature. B) (I) Illustration of the developed microfluidic system by Bezinge et al.…”
Section: Autonomous Colloidal Nanomaterials Synthesismentioning
confidence: 99%
“…Therefore, more advanced and smart fabrication techniques with fine control over the synthesis of chiral TMOs are imperative. One possible approach reported recently by Zhu's group [23] is to employ AI robotic systems equipped with a pump-probe laser and CD spectrometer as an in situ deep-learning modulator for real-time management of chiral synthesis. This method has proved to be an efficient way for obtaining enantioselective chiral perovskite, in which it is usually difficult to observe distortions and screw-dislocations, let alone chiral separations from their enantiomers.…”
Section: Applications and Perspectivesmentioning
confidence: 99%
“…[ 10 ] However, it is worth to note that experimental evidence on such type of intrinsic chirality is still inadequate probably due to the difficulties in separation of chiral NCs based on current synthetic methods and high‐resolution imaging for confirming the distortions at atomic level. To overcome this, a possible synthetic approach based on artificial intelligence (AI) robotics [ 23 ] is suggested in Section 4.…”
Section: Chirality Theory In Tmo Nanostructuresmentioning
confidence: 99%