Rapid, autonomous high-throughput characterization of hydrogel rheological properties via automated sensing and physics-guided machine learning-Reference-Cited by-同舟云学术

Rapid, autonomous high-throughput characterization of hydrogel rheological properties via automated sensing and physics-guided machine learning

Published:2023-02 Issue: Volume:30 Page:101720
ISSN:2352-9407
Container-title:Applied Materials Today
language:en
Short-container-title:Applied Materials Today

Author:

Zhang Junru^ORCID,Liu Yang,Chandra Sekhar.P Durga,Singh Manjot,Tong Yuxin,Kucukdeger Ezgi^ORCID,Yoon Hu Young^ORCID,Haring Alexander P.,Roman Maren^ORCID,Kong Zhenyu (James),Johnson Blake N.^ORCID

Funder

National Institute of Food and Agriculture

Virginia Agricultural Experiment Station, Virginia Polytechnic Institute and State University

National Science Foundation

U.S. Department of Agriculture

Publisher

Elsevier BV

Subject

General Materials Science

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