碳化
材料科学
碳纤维
储能
微观结构
纳米技术
工作(物理)
联轴节(管道)
化学工程
还原(数学)
能源消耗
扩散
工艺工程
生物量(生态学)
约束(计算机辅助设计)
增强碳-碳
碳捕获和储存(时间表)
钠
动力学
作者
Zongfu Sun,Huawei Liu,Yihao Cheng,Huan Li,Zhiyuan Han,Ying Tang,Xiang Zhang,Chunsheng Shi,Fang He,Yuting Yang,Biao Chen,Chunnian He
标识
DOI:10.1038/s41467-026-77440-0
摘要
Abstract Hard carbon materials are promising candidates for advancing large-scale energy storage in sodium-ion batteries. However, a fundamental trade-off often exists between sodium storage sites and fast diffusion kinetics in hard carbon. Herein, we overturn this long-standing constraint through a machine learning design paradigm and low-temperature thermal-force coupling carbonization that enables the microstructure in hard carbon of both abundant sodium storage sites and rapid Na + diffusion. Benefiting from this low-temperature construction, the sodium-ion pouch cell exhibits a high specific energy (based on the entire cell) of 208.1 Wh kg −1 at 1.5-4.3 V. Besides, the required carbonization temperature reduces from 1300 °C to 900 °C, leading to an energy consumption reduction of 49.7% and a carbon emission reduction of 47.5%. This work not only provides a double-field regulation strategy to prepare high-performance hard carbon under low temperature, but also contributes a viable pathway toward sustainable sodium-ion batteries.
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