A Machine‐Learning‐Enhanced Simultaneous and Multimodal Sensor Based on Moist‐Electric Powered Graphene Oxide-Reference-Cited by-同舟云学术

A Machine‐Learning‐Enhanced Simultaneous and Multimodal Sensor Based on Moist‐Electric Powered Graphene Oxide

Published:2022-09-12 Issue:41 Volume:34 Page:2205249
ISSN:0935-9648
Container-title:Advanced Materials
language:en
Short-container-title:Advanced Materials

Author:

Yang Ce¹^ORCID,Wang Haiyan¹,Yang Jiawei²,Yao Houze¹,He Tiancheng¹,Bai Jiaxin¹,Guang Tianlei¹,Cheng Huhu¹^ORCID,Yan Jianfeng¹,Qu Liangti¹^ORCID

Affiliation:

1. Key Laboratory of Organic Optoelectronics & Molecular Engineering Ministry of Education Department of Chemistry & State Key Laboratory of Tribology in Advanced Equipment (SKLT) Department of Mechanical Engineering Tsinghua University Beijing 100084 P. R. China

2. Tsien Excellence in Engineering Program School of Aerospace Engineering Tsinghua University Beijing 100084 P. R. China

Funder

National Natural Science Foundation of China

State Key Laboratory of Tribology

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adma.202205249

Reference70 articles.

1. A Wearable Body Condition Sensor System with Wireless Feedback Alarm Functions