Related Experiment Video
Updated: May 5, 2026

Ambient Method for the Production of an Ionically Gated Carbon Nanotube Common Cathode in Tandem Organic Solar Cells
Published on: November 5, 2014
Modulus Matching and Interface Enhancement: A Synergistic Strategy for Antidelamination High-Performance Stretchable
Shiwei Xu1, Pengfan Wu1, Feng Qin1
1Key Laboratory of Optoelectronic Technology & Systems, Ministry of Education, International R&D Center of Micro-Nano Systems and New Materials Technology, Chongqing University, Chongqing, 400044, China.
Abstract:
With the growing demand for flexible self-powered energy sources for wearable bioelectronics, triboelectric nanogenerator (TENG) have emerged as a promising technology for harvesting biomechanical energy. However, interfacial delamination between functional layers caused by mechanical mismatch has limited their practical application. Existing strategies struggle to balance bond strength, electrical conductivity, and stretchability. Inspired by molecularly continuous interfaces in biological systems, this study proposes a novel TENG construction strategy based on homologous polymer pairing. The triboelectric layer is a tailored thermoplastic polyurethane (TPU)/polyvinyl chloride (PVC)/ dibutyl adipate (DBA) gel (TPD-gel) with high electronegativity and tunable plasticity, while the electrode consists of a carbon nanotube-embedded TPU microfiber network that maintains stable conductivity under 200% strain. Both layers share a polyurethane matrix, enabling modulus matching (ratio < 2) and strain coordination, which fundamentally suppresses stress concentration. Through ultrasonic cavitation treatment, the interfacial toughness is significantly enhanced to 190 N m-1, which is 3.2 times that of conventional PDMS-based interfaces. The resulting TENG exhibits high triboelectric charge density, strain-insensitive conductivity, and over 100% extensibility. Furthermore, a delamination-resistant triboelectric sensor integrated with a deep learning algorithm achieves 97.8% accuracy in character recognition, demonstrating potential for wearable health monitoring and human-machine interaction.

