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Newswise: Using AI to develop hydrogen fuel cell catalysts more efficiently and economically

Newswise: Using AI to Develop Hydrogen Fuel cell catalysts more efficiently and economically. “The team developed Slab Graph Convolutional Neural Network (SGCNN) artificial intelligence model to accurately predict the binding energy of adsorbates on the catalyst surface. This is not the first application of AI to materials discovery. The SGCNN model was developed by evolving the CGCNN model, which is specialized in predicting bulk properties of solid materials, to predict surface properties of catalytic materials.”

The post Newswise: Using AI to develop hydrogen fuel cell catalysts more efficiently and economically first appeared on ResearchBuzz: Firehose.


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Newswise: Using AI to develop hydrogen fuel cell catalysts more efficiently and economically

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