Li Jinfeng, Gao Yan, Jin Yupeng, Zhang Tian
Electronic Information School, Wuhan University, Wuhan, 430072, China.
Suzhou institute of Wuhan University, Suzhou, 215000, China.
Adv Mater. 2025 Jan;37(1):e2411806. doi: 10.1002/adma.202411806. Epub 2024 Oct 27.
Polymer dielectrics possess outstanding advantages for high-power energy storage applications such as high breakdown strength (E) and efficiency (η), while both of them decrease rapidly at elevated temperatures. Although several strategies have been evaluated to enhance Eb and heat resistance, the discharged energy density (U) is still limited by the planar conjugated structure. In this study, a novel approach to manipulate polymer morphology is introduced, thereby influencing dielectric properties. A range of polyurea (PU)-based polymers are predicted from different structural unit combinations by machine learning and synthesized two representative polymers with high dielectric constants (K) and thermal stability. These polymers are combined with PI to form a twisted polymer via hydrogen bonding interactions (HNP). Both experimental results and computational simulations demonstrate the twisted structure disrupts the conjugated structure to widen the bandgap and increase dipole moment through the twisting of polar groups, leading to simultaneous improvements in both K and E. Consequently, HNP-20% achieves an ultrahigh Ud of 6.42 J cm with an efficiency exceeding 90% at 200 °C. This work opens a new avenue to scalable high Ud all-polymer dielectric for high-temperature applications.
聚合物电介质在高功率储能应用中具有突出优势,如高击穿强度(E)和效率(η),但在高温下两者都会迅速下降。尽管已经评估了几种提高Eb和耐热性的策略,但放电能量密度(U)仍然受到平面共轭结构的限制。在本研究中,引入了一种操纵聚合物形态的新方法,从而影响介电性能。通过机器学习从不同的结构单元组合预测了一系列基于聚脲(PU)的聚合物,并合成了两种具有高介电常数(K)和热稳定性的代表性聚合物。这些聚合物与PI通过氢键相互作用(HNP)形成扭曲聚合物。实验结果和计算模拟均表明,扭曲结构破坏了共轭结构,通过极性基团的扭曲拓宽了带隙并增加了偶极矩,从而导致K和E同时提高。因此,HNP-20%在200°C时实现了6.42 J cm的超高Ud,效率超过90%。这项工作为高温应用的可扩展高Ud全聚合物电介质开辟了一条新途径。