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Innovative approaches for predicting cryogenic hydrogen behaviour
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DOI：10.1016/j.ijheatfluidflow.2025.110025.png)
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Abstract
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• Study combines LES, POD, and ML to predict hydrogen and temperature profiles. • BiLSTM model predicts temporal coefficients with high accuracy (R2: 0.944–0.997). • ML method achieves 2.85% deviation in predicting hydrogen flammability threshold.
Keywords:
Liquid cryogenic hydrogen
Proper orthogonal decomposition
Bidirectional long short-term memory
Large Eddy simulation
Reduced order modelling
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