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s41598 026 43905 X - Reference by jiwooseo523 is a document available to read on EtoBox.
This study introduces a transfer learning enhanced deep neural network surrogate model aimed at accelerating multiphysics simulations of alkaline water electrolyzers, which are crucial for green hydrogen production. By leveraging low-fidelity simulation data, the model significantly reduces the need for high-fidelity training data and improves prediction accuracy, achieving computational acceleration ratios up to six orders of magnitude compared to traditional methods. The proposed framework demonstrates ro
- Author
- jiwooseo523
- Language
- EN