Shape memory polymer-based self-healing triboelectric nanogenerator

By Jeong Hwan Lee, Ronan Hinchet, Sung Kyun Kim, Sang-Hyup Kim, Sang‐Woo Kim. 2015

181 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Polymers and Plastics

View Paper: https://www.semanticscholar.org/paper/6b6fd1f73cf8dce87723cf1e0484620701b097ac

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Xinge Guo
2. Chengkuo Lee
3. Long Liu
4. Tianyiyi He
5. Feng Wen
6. Qiongfeng Shi
7. Bowei Dong
8. Jianxiong Zhu

In Polymers and Plastics

1. Chengkuo Lee
2. Xinge Guo
3. Long Liu
4. Tianyiyi He
5. Qiongfeng Shi
6. Feng Wen
7. Philippe Vachon
8. Yanqin Yang

Citations in the corpus

• More than energy harvesting – Combining triboelectric nanogenerator and flexible electronics technology for enabling novel micro-/nano-systems (2019, background): “To address this issue, in 2015, a self-healing TENG based on shape memory polymer is proposed to extend the usage lifetime and guarantee the long-term performance [41].”
• Progress in TENG technology—A journey from energy harvesting to nanoenergy and nanosystem (2020, background): “In this section, several interesting functionalities of TENG will be introduced, including shape memory capability, self-healing capability, shape adaptive capability, and stretchability.(139,233,321-341) In 2015, Lee et al proposed the first shape memory TENG, where the shape memory polymer, PU ser”