Deep-Learning-Guided Evaluation Method for the High-Volume Preparation of Flexible Sensors Based on Inkjet Printing-Reference-Cited by-同舟云学术

Deep-Learning-Guided Evaluation Method for the High-Volume Preparation of Flexible Sensors Based on Inkjet Printing

Published:2024-03-04 Issue:10 Volume:16 Page:13326-13334
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Yao Chong¹^ORCID,Wang Liru¹,Wang Qianqian¹,Liu Ziwen¹,Liu Gang¹²³^ORCID,Zhang Miao¹²³^ORCID

Affiliation:

1. Key Laboratory of Smart Agriculture Systems of Ministry of Education, China Agricultural University, Beijing 100083, People’s Republic of China

2. Key Laboratory of Agricultural Information Acquisition Technology of Ministry of Agriculture and Rural Affairs, China Agriculture University, Beijing 100083, People’s Republic of China

3. National Innovation Center for Digital Agricultural Products Circulation, China Agricultural University, Beijing 100083, People’s Republic of China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.4c00322

Reference30 articles.

1. Ink-Jet Printing towards Ultra-High Resolution: A Review

2. Inkjet-printed flexible sensors: From function materials, manufacture process, and applications perspective

3. Low-cost inkjet-printed humidity sensor using nanoporous surface on coated paper

4. Low content and low-temperature cured silver nanoparticles/silver ion composite ink for flexible electronic applications with robust mechanical performance

5. Recent development in silver-based ink for flexible electronics

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