Piezoelectric Smart Patch Operated with Machine-Learning Algorithms for Effective Detection and Elimination of Condensation-Reference-Cited by-同舟云学术

Piezoelectric Smart Patch Operated with Machine-Learning Algorithms for Effective Detection and Elimination of Condensation

Published:2021-08-18 Issue:8 Volume:6 Page:3072-3081
ISSN:2379-3694
Container-title:ACS Sensors
language:en
Short-container-title:ACS Sens.

Author:

Zhang Qian¹²,Wang Yong¹²³^ORCID,Wang Tao¹,Li Dongsheng¹,Xie Jin¹^ORCID,Torun Hamdi²,Fu Yongqing¹²^ORCID

Affiliation:

1. The State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China

2. Faculty of Engineering and Environment, University of Northumbria, Newcastle upon Tyne NE1 8ST, U.K.

3. Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou 310024, China

Funder

Engineering and Physical Sciences Research Council

Royal Society

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

UK Fluidic Network

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.1c01187

Reference33 articles.

1. Dropwise condensation on solid hydrophilic surfaces

2. Capillary condensation under atomic-scale confinement

3. Liquid phase condensation in cell physiology and disease

4. Recurrent Filmwise and Dropwise Condensation on a Beetle Mimetic Surface

5. Hydrophobic copper nanowires for enhancing condensation heat transfer

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