Self-Powered Flexible Full-Color Display via Dielectric-Tuned Hybrimer Triboelectric Nanogenerators-Reference-Cited by-同舟云学术

Self-Powered Flexible Full-Color Display via Dielectric-Tuned Hybrimer Triboelectric Nanogenerators

Published:2021-10-28 Issue:11 Volume:6 Page:4097-4107
ISSN:2380-8195
Container-title:ACS Energy Letters
language:en
Short-container-title:ACS Energy Lett.

Author:

Kang Seung-Mo¹²^ORCID,Lee Han Eol³,Wang Hee Seung¹²,Shin Jung Ho¹²,Jo Woosung²⁴,Lee Yung¹²^ORCID,Lee Hyunhwan¹²^ORCID,Lee Daewon⁵⁶,Kim Yun Hyeok¹²^ORCID,Kim Taek-Soo²⁴^ORCID,Lee Keon Jae¹²,Bae Byeong-Soo¹²^ORCID

Affiliation:

1. Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea

2. Wearable Platform Materials Technology Center (WMC), Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea

3. Division of Advanced Materials Engineering, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeollabuk-do 54896, Republic of Korea

4. Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea

5. Department of Materials Science and Engineering, University of California at Berkeley, Berkeley, California 94720, United States

6. Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720 United States

Funder

National Research Foundation of Korea

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,Energy Engineering and Power Technology,Fuel Technology,Renewable Energy, Sustainability and the Environment,Chemistry (miscellaneous)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsenergylett.1c01729

Reference73 articles.

1. Self-powered flexible inorganic electronic system

2. Self-Powered Nanosensors and Nanosystems

3. Self‐Powered Real‐Time Arterial Pulse Monitoring Using Ultrathin Epidermal Piezoelectric Sensors

4. Machine learning-based self-powered acoustic sensor for speaker recognition

5. Biomimetic and flexible piezoelectric mobile acoustic sensors with multiresonant ultrathin structures for machine learning biometrics

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