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-Reference-Cited by-同舟云学术

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

Published:2023-10-19 Issue:43 Volume:15 Page:50532-50545
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Wang Fengrui¹^ORCID,Qin Shiyi²^ORCID,Acevedo-Vélez Claribel³^ORCID,Van Lehn Reid C.²^ORCID,Zavala Victor M.²⁴^ORCID,Lynn David M.¹²^ORCID

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

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.3c12905

Reference54 articles.

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5. Detection of Lipid and Amphiphilic Biomarkers for Disease Diagnostics