彭超 Chao Peng

聚焦机器学习等先进方法辅助实验加速新能源材料数字化制造以及材料高通量设计平台搭建，利用大数据驱动高稳定电池关键材料的快速预测与制备。开发高性能锂离子电池、以及高丰度低成本钠/锌离子电池器件，在集成水平实现电池能量密度、安全性及充放电速率的快速提升。

Focuses on using advanced methods such as machine learning to assist experiments in accelerating the digital manufacturing of new energy materials and building high-throughput material design platforms, utilizing big data to drive rapid prediction and preparation of key materials for highly stable batteries. Develops high-performance lithium-ion batteries and high-abundance, low-cost sodium/zinc-ion battery devices, achieving rapid improvements in battery energy density, safety, and charge-discharge rates at the integration level.

1. Angewandte Chemie International Edition. 2025, 第8作者 通讯作者
2. Angewandte Chemie International Edition. 2025, 第1作者 通讯作者
3. Nature Sustainability. 2025, 第4作者 通讯作者