Sensing Gas Mixtures by Analyzing the Spatiotemporal Optical Responses of Liquid Crystals Using 3D Convolutional Neural Networks-Reference-Cited by-同舟云学术

Sensing Gas Mixtures by Analyzing the Spatiotemporal Optical Responses of Liquid Crystals Using 3D Convolutional Neural Networks

Published:2022-08-23 Issue:9 Volume:7 Page:2545-2555
ISSN:2379-3694
Container-title:ACS Sensors
language:en
Short-container-title:ACS Sens.

Author:

Bao Nanqi¹^ORCID,Jiang Shengli²^ORCID,Smith Alexander²^ORCID,Schauer James J.³^ORCID,Mavrikakis Manos²^ORCID,Van Lehn Reid C.²^ORCID,Zavala Victor M.²^ORCID,Abbott Nicholas L.¹^ORCID

Affiliation:

1. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, New York 14853, United States

2. Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States

3. Department of Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States

Funder

National Science Foundation

Publisher

American Chemical Society (ACS)

Subject

Fluid Flow and Transfer Processes,Process Chemistry and Technology,Instrumentation,Bioengineering

Link

https://pubs.acs.org/doi/pdf/10.1021/acssensors.2c00362

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