Molecularly programmed hierarchical self-assembly of bottlebrush polymers into core–shell nanospheres with intrinsic charge-trapping for high performance triboelectric nanogenerators

Abstract

We present a solution-processed bottlebrush polymer, PNB-g-PVDF [(polynorbornene)-g-(polyvinylidene fluoride)], that self-assembles into hierarchical core–shell nanospheres to achieve outstanding triboelectric performance. A thermally decomposable molecular splint, butadiene sulfone (BDS), is used to crystallize the PVDF side chains almost exclusively in the highly polar β-phase. TEM, SAED, and depth-profile XPS confirm a core–shell structure comprising a fluorine-rich, highly polar shell wrapped around a mixed PNB/PVDF core. Crucially, isothermal surface potential decay (ISPD) analysis reveals that the hierarchical bottlebrush architecture provides more stable charge-trapping environments than the corresponding linear PVDF controls, thereby suppressing charge dissipation over the measured time window. When paired with nylon-6,6 in a triboelectric nanogenerator (TENG), the film produces VOC = 188 V, ISC = 18.8 µA and Pmax = 0.255 mW cm−2. This output is approximately three times higher than that of a comparable β-phase linear PVDF control and is sufficient to directly power 27 commercial LEDs. These results establish bottlebrush polymer self-assembly as a promising molecular design platform for additive-free, high-performance TENG materials.

Graphical abstract: Molecularly programmed hierarchical self-assembly of bottlebrush polymers into core–shell nanospheres with intrinsic charge-trapping for high performance triboelectric nanogenerators

Supplementary files

Article information

Article type
Communication
Submitted
10 Apr 2026
Accepted
22 Jun 2026
First published
26 Jun 2026

Nanoscale, 2026, Advance Article

Molecularly programmed hierarchical self-assembly of bottlebrush polymers into core–shell nanospheres with intrinsic charge-trapping for high performance triboelectric nanogenerators

J. Choi, S. J. Hong, T. Kim, I. K. Moon, J. Bang, C. Park and Y. Kang, Nanoscale, 2026, Advance Article , DOI: 10.1039/D6NR01416J

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