Breaking adsorption-energy scaling limitations of electrocatalytic nitrate reduction on intermetallic CuPd nanocubes by machine-learned insights
Machine learning is a powerful tool for screening electrocatalytic materials. Here, the authors reported a seamless integration of machine-learned physical insights with the controlled synthesis of structurally ordered intermetallic nanocrystals and well-defined catalytic sites for efficient nitrate...
Full description
Bibliographic Details
| Main Authors: |
Qiang Gao,
Hemanth Somarajan Pillai,
Yang Huang,
Shikai Liu,
Qingmin Mu,
Xue Han,
Zihao Yan,
Hua Zhou,
Qian He,
Hongliang Xin,
Huiyuan Zhu |
|---|
| Format: | Article
|
|---|
| Language: | English |
|---|
| Published: |
Nature Portfolio
2022-04-01
|
|---|
| Series: | Nature Communications
|
|---|
| Online Access: | https://doi.org/10.1038/s41467-022-29926-w
|
|---|