材料科学
神经形态工程学
电介质
可扩展性
光电子学
纳米技术
热塑性聚氨酯
极化(电化学)
石墨烯
柔性电子器件
复合数
数码产品
气凝胶
光子学
电子迁移率
磷烯
晶体管
调制(音乐)
软机器人
计算机科学
自愈
有机电子学
等离子体子
电子皮肤
电子工程
作者
Zijie Yang,Xiaoyu Zhang,Weiyu Wang,Hui Yang,Bin Wang,Deyang Ji,Wenping Hu
摘要
Conventional polyurethane-based dielectrics are mostly nondegradable fossil-derived materials lacking effective end-of-life management, leading to massive electronic waste and unsustainable life cycles-key barriers to the green transition of flexible electronics. Despite their desirable stretchability and self-healing, inherent limitations in dielectric polarization and interfacial modulation restrict optoelectronic performance, creating an unresolved trade-off between functionality and sustainability. Guided by green chemical engineering and circular economy principles, we designed a degradable polycarbonate-based thermoplastic polyurethane (PCTPU) by incorporating PC soft segments into the polyurethane backbone, and constructed a robust non-covalent hydrogen-bonding network via poly (amic acid) (PAA) blending to synergistically regulate dielectric polarization and interfacial compatibility. The PCTPU-PAA composite exhibits excellent mechanical performance and enhanced self-healing property. Notably, when integrated into organic neuromorphic visual sensors (ONeuVS), the composite enables a ∼7.6-fold enhancement in carrier mobility versus bare PCTPU sensors. It also endows ONeuVS with enhanced retinal-like photoresponsiveness, achieving 92.67% accuracy in handwritten digit recognition while reducing neural network training costs. Critically, a scalable multi-solvent stepwise separation method achieves efficient degradation and recovery, realizing a closed-loop life cycle. This work establishes a scalable molecular engineering strategy for high-performance, sustainable flexible dielectrics and devices, breaking the performance-sustainability trade-off and facilitating their large-scale green applications.
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