Decoding Optical Responses of Contact-Printed Arrays of Thermotropic Liquid Crystals Using Machine Learning: Detection and Reporting of Aqueous Amphiphiles with Enhanced Sensitivity and Selectivity

Author:

Wang Fengrui1ORCID,Qin Shiyi2ORCID,Acevedo-Vélez Claribel3ORCID,Van Lehn Reid C.2ORCID,Zavala Victor M.24ORCID,Lynn David M.12ORCID

Affiliation:

1. Department of Chemistry, University of Wisconsin−Madison, 1101 University Ave., Madison, Wisconsin 53706, United States

2. Department of Chemical and Biological Engineering, University of Wisconsin−Madison, 1415 Engineering Dr., Madison, Wisconsin 53706, United States

3. Department of Chemical Engineering, University of Puerto Rico-Mayagüez, Call Box 9000, Mayagüez, PR 00681-9000, United States

4. Mathematics and Computer Science Division, Argonne National Laboratory, 9700 S. Cass Ave, Lemont, Illinois 60439, United States

Funder

Division of Information and Intelligent Systems

Division of Materials Research

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

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