Randomized trial demonstrates high-rate performance in supercapacitors, suggesting improved energy storage efficiency.
Transforming heavy carbon precursors with complex structures into high specific surface area porous carbons for supercapacitors typically relies on harsh alkali‐based activation—however, this process often comes at the expense of graphitization, yielding amorphous structures that severely impede high‐rate performance, a bottleneck particularly pronounced in thick electrodes. Herein, we construct a “rigid‐flexible” precursor via molecular tailoring to regulate the thermochemical reconstruction behavior of aromatic‐aliphatic groups mediated by molten potassium salts, thereby kinetically accelerating the growth and splicing of carbon microcrystals. 13 C ssNMR, multi‐scale microcrystalline characterization, and ex situ thermal conversion analysis confirm that the optimized precursor configuration and the unique liquid‐phase environment provide the necessary “stitching sites,” sufficient “graphitization feedstock,” and additional kinetic driving forces for the evolution of the graphitized structure, thereby endowing the prepared porous carbon with a high specific surface area of 1266.6 m 2 g −1 and a homogeneous graphitic network, effectively alleviating the trade‐off between porosity and graphitization. These features enable the assembled organic supercapacitor to demonstrate exceptional rate performance (85.52% retention at 20 A g −1 ), outstanding energy‐power integration (23.3 Wh kg −1 at 13.8 kW kg −1 ), and a lifespan exceeding 10 000 cycles. Even at a high mass loading of 10 mg cm −2 without conductive additives, the electrode still exhibits a specific capacitance retention of 82.68% at 10 A g −1 , significantly surpassing commercial counterparts. This work utilizes a kinetically controlled synthesis to realize the synergistic construction of high porosity and homogeneous graphitic structural properties in porous carbons, providing a versatile platform for developing high‐power energy storage devices.
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Zhang et al. (2026) studied this question.
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