ORCID Profile
0000-0002-8956-4325
Current Organisation
Monash University
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Publisher: Wiley
Date: 16-08-2023
Abstract: An automated high throughput multidimensional reaction screening platform based on an inline Fourier‐transform infrared spectroscopy is presented. By combining flow chemistry, machine automation and inline analysis, the platform is able to screen reactions in multidimensions (residence time, monomer concentration, degree of polymerization, reaction temperature and monomer conversion) rapidly and efficiently way. Kinetic data libraries associated with high data precision (absolute error %), high reproducibility and high data density are built with ease from the platform. To test the method, we screened the reversible addition‐fragmentation chain transfer polymerization of methyl acrylate in unmatched detail, and the ring opening metathesis polymerization of methyl‐5‐norbornene‐2‐carboxylate. The method we introduce is a key step in providing “big data” for data driven research in the future, and already at present allows for precise prediction of reaction outcomes within the high‐dimensional chemical parameter space that is screened.
Publisher: Wiley
Date: 27-05-2020
Publisher: Wiley
Date: 30-08-2020
Publisher: Royal Society of Chemistry (RSC)
Date: 2020
DOI: 10.1039/C9TC06352H
Abstract: The performance of a hierarchical microstructure-based flexible pressure sensor with a wide linearity range and high sensitivity, and the applications of the flexible pressure sensor for human activities.
Publisher: Wiley
Date: 09-06-2020
Publisher: Wiley
Date: 16-08-2023
Abstract: An automated high throughput multidimensional reaction screening platform based on an inline Fourier‐transform infrared spectroscopy is presented. By combining flow chemistry, machine automation and inline analysis, the platform is able to screen reactions in multidimensions (residence time, monomer concentration, degree of polymerization, reaction temperature and monomer conversion) rapidly and efficiently way. Kinetic data libraries associated with high data precision (absolute error %), high reproducibility and high data density are built with ease from the platform. To test the method, we screened the reversible addition‐fragmentation chain transfer polymerization of methyl acrylate in unmatched detail, and the ring opening metathesis polymerization of methyl‐5‐norbornene‐2‐carboxylate. The method we introduce is a key step in providing “big data” for data driven research in the future, and already at present allows for precise prediction of reaction outcomes within the high‐dimensional chemical parameter space that is screened.
No related grants have been discovered for Bo Zhang.