研究论文
Graph neural network-driven prediction of high-performance CO2 reduction catalysts based on Cu-based high-entropy alloys
Zihao Jiao, Chengyi Zhang, Ya Liu, Liejin Guo, Ziyun Wang
University of Auckland State Key Laboratory of Multiphase Flow in Power Engineering Xi'an Jiaotong University
来源CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION)
年份2025
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
摘要 · 节选
暂未获取摘要。可打开原文或 PDF,后续可基于全文生成更完整的速读。
逐年被引趋势
630
625
26
关键指标
12
被引次数 · OpenAlex
1.76
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 16%
引用位次
同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
60
参考文献
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:文献信息
论文问答
当前基于文献信息回答
可就本文提问;依据不足时会说明。
学术脉络
学科主题
工程CO2 Reduction Techniques and Catalysts
Machine Learning in Materials Science · Electrocatalysts for Energy Conversion
参考文献 60
Fundamental Concepts in Heterogeneous Catalysis
被引 205Jens K. Nørskov, Felix Studt, Frank Abild‐Pedersen · Focus on Catalysts · 2015
Kinetic Monte Carlo simulation of surface segregation in Pd–Cu alloys
被引 24Feng Cheng, Xiang He, Zhao‐Xu Chen · Journal of Alloys and Compounds · 2015
Size-dependent plasticity in an Nb25Mo25Ta25W25 refractory high-entropy alloy
被引 548Yu Zou, Soumyadipta Maiti, Walter Steurer · Acta Materialia · 2013
此处列出前 3 条
引用本文 12
Design Frontiers of High‐Entropy Materials for Advanced Electrocatalysis
被引 24Jinliang Zhu, Xiaoling Yu, Manchuan Guo · Advanced Functional Materials · 2025
Recent Advances in CO (2) Electroreduction Driven by Artificial Intelligence and Machine Learning
被引 12Yuanyuan Xue, Lijuan Zhang, Gengfeng Zheng · Advanced Energy Materials · 2025
Machine learning-driven high-throughput screening of electrocatalysts and electrolytes for electrochemical surfaces and interfaces
被引 5Shun Zou, Lipan Luo, Guanyu Wang · Chemical Communications · 2026
按被引量排序,此处列出前 3 条