钴
催化作用
硝酸盐
生化工程
纳米技术
化学
材料科学
表面工程
制氢
计算机科学
耐久性
可扩展性
对偶(语法数字)
桥接(联网)
氢
多相催化
作者
GuoLiang Chang,Xueqiu Chen,Jingjing Lv,Zhijie Kong,Zhengjun Wang
出处
期刊:Nano-micro Letters
[Springer Science+Business Media]
日期:2025-10-01
卷期号:18 (1): 73-73
被引量:7
标识
DOI:10.1007/s40820-025-01877-z
摘要
RR, including the dynamic reconstruction during operation and its impact on active site. Synergizing experimental breakthroughs with computational modeling, we decode mechanisms underlying competitive hydrogen evolution suppression, intermediate adsorption-energy optimization, and durability enhancement in complex aqueous environments. The development of cobalt-based catalysts was summarized and prospected, and the emerging opportunities of machine learning in accelerating the research and development of high-performance catalysts and the configuration of series reactors for scalable nitrate-to-ammonia systems were also introduced. Bridging surface science and applications, it outlines a framework for designing multifunctional electrocatalysts to restore nitrogen cycle balance sustainably.
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