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Computational prediction of nano-electrode structures by using highly ordered ionomers for statistical morphology analysis
1 : School of Mechanical Engineering, Hanyang University
* : Corresponding author
| Subject : | : | Oral |
| Comment | : | New concept of electrode structure for advanced fuel cell application is proposed by using highly ordered ionomer structure for advanced fuel cell application. Catalyst utilization of highly ordered ionomer catalyst layer are predicted by statistical three-dimensional morphology analysis and compared with both conventional and VACNT catalyst layer. |
| Topics | : | Recent advances in stack components and developments |
| PDF version | : |  PDF version |
