锌
转化(遗传学)
材料科学
计算机科学
工艺工程
化学
人工智能
冶金
工程类
生物化学
基因
作者
Jianbo Dong,Guolang Zhou,Wenhao Ding,Jiayi Ji,Qing Wang,Tianshi Wang,Lili Zhang,Xiuyang Zou,Jingzhou Yin,Edison Huixiang Ang
摘要
A machine-learning-designed cerium-iron MOF layer enhances Zn anode stability, achieving over 4300 hours at 1 mA cm −2 and 99.8% coulombic efficiency over 1400 cycles at 2 mA cm −2 , providing a cost-effective protective strategy.
科研通智能强力驱动
Strongly Powered by AbleSci AI