题名 | Developing new electrocatalysts for oxygen evolution reaction via high throughput experiments and artificial intelligence |
作者 | |
发表日期 | 2024-12-01
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DOI | |
发表期刊 | |
EISSN | 2057-3960
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卷号 | 10期号:1 |
摘要 | The development of non-noble metal electrocatalysts for the Oxygen Evolution Reaction (OER) is advancing towards the use of multi-element materials. To reveal the complex correlations of multi-element OER electrocatalysts, we developed an iterative workflow combining high-throughput experiments and AI-generated content (AIGC) processes. An increased number of 909 (compared to 145 in previous literature) universal descriptors for inorganic materials science were constructed and used as Artificial Neural Network (ANN) input. A large number of statistical ensembles with each ANN individual ensemble having a reduced number of descriptors were integrated with a new Hierarchical Neural Network (HNN) algorithm. This algorithm addresses the longstanding challenge of balancing overwhelming descriptor numbers with insufficient datasets in traditional ANN approaches to materials science problems. As a result, the combination of AIGC and experimental validation significantly enhanced prediction accuracy, increase the R values from 0.7 to 0.98 for Tafel slopes. |
相关链接 | [Scopus记录] |
收录类别 | |
语种 | 英语
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学校署名 | 其他
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Scopus记录号 | 2-s2.0-85202773591
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来源库 | Scopus
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引用统计 | |
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/816617 |
专题 | 工学院_材料科学与工程系 前沿与交叉科学研究院 |
作者单位 | 1.School of Materials Science and Engineering,Harbin Institute of Technology,Harbin, 150001,China 2.School of Materials Science and Engineering,Southern University of Science and Technology,Shenzhen, 518055,China 3.Academy for Advanced Interdisciplinary Studies,Southern University of Science and Technology,Shenzhen, 518055,China 4.Shenzhen Polytechnic University,Shenzhen, 518055,China |
第一作者单位 | 材料科学与工程系 |
推荐引用方式 GB/T 7714 |
Xu,Shaomeng,Chen,Zhuyang,Qin,Mingyang,et al. Developing new electrocatalysts for oxygen evolution reaction via high throughput experiments and artificial intelligence[J]. npj Computational Materials,2024,10(1).
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APA |
Xu,Shaomeng.,Chen,Zhuyang.,Qin,Mingyang.,Cai,Bijun.,Li,Weixuan.,...&Xiang,X. D..(2024).Developing new electrocatalysts for oxygen evolution reaction via high throughput experiments and artificial intelligence.npj Computational Materials,10(1).
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MLA |
Xu,Shaomeng,et al."Developing new electrocatalysts for oxygen evolution reaction via high throughput experiments and artificial intelligence".npj Computational Materials 10.1(2024).
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