2022
DOI: 10.1039/d2dd00048b
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Hyperconverged autonomous organic reaction infrastructure (HAORI) driven by SpecSNN, for low dielectric constant polymer research

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. Most of the previous data-driven...

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Cited by 1 publication
(2 citation statements)
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“…We can also judge whether the reaction is in progress or failing based on the in situ Raman data and whether the reaction conditions should be changed to obtain what we need. I have developed several robots for the chemical synthesis sharing the MAOS scheme, like AIR-Chem (Authentic Intelligent Robotics for Chemistry), BiaeP (Blockchain Integrated Automatic Experiment Platform), AIM (Authentic Intelligent Machine for Scaling Driven Discovery), and HAORI (Hyperconverged autonomous organic reaction infrastructure). There are several other excellent works in this digitalization system. ,, …”
Section: Solutionmentioning
confidence: 99%
See 1 more Smart Citation
“…We can also judge whether the reaction is in progress or failing based on the in situ Raman data and whether the reaction conditions should be changed to obtain what we need. I have developed several robots for the chemical synthesis sharing the MAOS scheme, like AIR-Chem (Authentic Intelligent Robotics for Chemistry), BiaeP (Blockchain Integrated Automatic Experiment Platform), AIM (Authentic Intelligent Machine for Scaling Driven Discovery), and HAORI (Hyperconverged autonomous organic reaction infrastructure). There are several other excellent works in this digitalization system. ,, …”
Section: Solutionmentioning
confidence: 99%
“…The answer is no, but, optimistically, not only in recent years, many robots have been used to do chemical experiments on the work surface, as partially summarized in Figure . Figure mainly lists some (not all) systematic laboratory robot synthesis equipment in universities and industries. In fact, the laboratories of many large pharmaceutical companies already realized automation and intelligence a long time ago. The degree of agreement of the experimental results will be much higher than that of traditional experimental methods; why do we not do this in the future?…”
Section: Introductionmentioning
confidence: 99%