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Found 2 papers, 1 papers with code
Multi-fidelity Design of Porous Microstructures for Thermofluidic Applications
We address these challenges by developing a data-driven framework for designing optimal porous microstructures for cooling applications.
BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning
In the field of phase change phenomena, the lack of accessible and diverse datasets suitable for machine learning (ML) training poses a significant challenge.
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