Yi Gong

Dr. Yi Gong

Department of Materials Science, Fudan University, Shanghai, China
orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 April 2022 in Sensors
Verified
Journal Article
Open access
PDF file
SBSiguo Bi
Siguo Bi
CWCong Wang
Cong Wang
JZJilong Zhang
Jilong Zhang
WHWutao Huang
Wutao Huang
BWBochun Wu
Bochun Wu
WNWei Ni
Wei Ni
With the boom in artificial intelligence (AI) and Internet-of-Things (IoT), thousands of smart devices are interconnected with each other and deeply applied into human society. This prosperity has significantly improved public service and management, which were traditionally based on manual work. As a notable scenario, librarianship has embraced an era of “Smart Libraries” enabled by AI and IoT. Unlike existing surveys, our work comprehensively overviews the AI- and IoT-based technologies in three fundamental aspects: smart service, smart sustainability, and smart security. We then further highlight the trend towards future smart libraries.

8 August 2024 in European Polymer Journal
Verified
Journal Article
Closed access
ZZZhiyuan Zeng
Zhiyuan Zeng
TZTianqun Zhao
Tianqun Zhao
YGYi Gong
Yi Gong
ZYZhi-Qiang Yu
Zhi-Qiang Yu

10 May 2024 in Polymer Degradation and Stability
Verified
Journal Article
Closed access
TBTong-Tong Bi
Tong-Tong Bi
MSMing-Kun Shuai
Ming-Kun Shuai
YGYi Gong
Yi Gong
QDQun Ding
Qun Ding
KSKang-Yao Sun
Kang-Yao Sun
ZZZong-Zong Zhang
Zong-Zong Zhang

14 October 2022 in Engineering Failure Analysis
Verified
Journal Article
Closed access
JCJie Chen
Jie Chen
YGYi Gong
Yi Gong
ZYZhen-Guo Yang
Zhen-Guo Yang

4 December 2024 in IEEE Robotics and Automation Letters
Verified
Journal Article
Closed access
LLLin Li
Lin Li
YSYunquan Sun
Yunquan Sun
YGYi Gong
Yi Gong
QTQi Tong
Qi Tong
Lizhe QILizhe QI
Lizhe QI
Soft robotics, renowned for its robust adaptability to complex environments, holds great promise for a wide array of applications. Among the various actuation methods, magnetic fields stand out as particularly advantageous for soft robotics due to their ability to enable remote control and their biocompatibility. Current research in magnetic soft robots primarily centers on magnetic elastomers, which possess a certain load-bearing capacity and exhibit desired motions. However, these robots often lack the adaptability required to function effectively in diverse environments. Here we introduce an untethered Magnetorheological Fluid robot (MRF robot) that employs an innovative approach by encapsulating MRF within an elastic membrane. This design not only preserves the fluidity of the MRF, thereby ensuring environmental adaptability, but also provides the MRF robots with structural integrity when exposed to magnetic fields, thereby enhancing their load-bearing capabilities. The proposed MRF robot showcases its ability to navigate through narrow tunnels, manipulate and operate soft or complex objects. These results hold significant potential for inspiring versatile applications, such as the removal of foreign objects in biological systems via remote control, thereby potentially advancing medical procedures.

27 February 2019 in Engineering Failure Analysis
Verified
Journal Article
Closed access
JFJing-Lu Fei
Jing-Lu Fei
XYXiao-Lei Yang
Xiao-Lei Yang
SWSheng-Hui Wang
Sheng-Hui Wang
YGYi Gong
Yi Gong
JWJun Wang
Jun Wang
ZYZhen-Guo Yang
Zhen-Guo Yang