Hyperconverged autonomous organic reaction infrastructure (HAORI) driven by SpecSNN, for low dielectric constant polymer research-Reference-Cited by-同舟云学术

Hyperconverged autonomous organic reaction infrastructure (HAORI) driven by SpecSNN, for low dielectric constant polymer research

Published:2022 Issue:4 Volume:1 Page:375-381
ISSN:2635-098X
Container-title:Digital Discovery
language:en
Short-container-title:Digital Discovery

Author:

Xu Yanheng¹,Qiu Kaibin¹,Xiao Shuyu²,Liang Jiechun¹,He Tingchao²^ORCID,Zhu Xi¹^ORCID

Affiliation:

1. School of Science and Engineering (SSE), Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), 2001 Longxiang Blvd, Longgang District, Shenzhen, Guangdong, China

2. College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, Guangdong, 518060, China

Abstract

We developed a hyper-converged autonomous organic reaction infrastructure (HAORI) that integrates reactions, characterization, and closed-loop optimization, driven by the Spectrum Spiking Neural Network (SpecSNN) architecture.

Funder

Shenzhen Fundamental Research Program

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2022/DD/D2DD00048B

Reference33 articles.

1. Accelerated Data-Driven Accurate Positioning of the Band Edges of MXenes

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5. Efficient Syntheses of Diverse, Medicinally Relevant Targets Planned by Computer and Executed in the Laboratory

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