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NurshatMenglik/Paired_Compressible_Boussinesq_Flow_Simulation_with_Random_Temperature_BCs

Paired Compressible / Boussinesq Flow with Random Temperature BCs ๐Ÿ“„ Paper: A Neural Surrogate Approach for Simulating Natural Convection Problems (arXiv:2606.25259) โ€” Nurshat Menglik, Alex Shao, David Hyde. 10,000 matched pairs of 2D natural-convection simulations of the differentially heated square cavity under randomized wall-temperature boundary conditions. Each sample solves the same problem twice โ€” once with the Boussinesq model and once with the fully compressible model โ€”โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/NurshatMenglik/Paired_Compressible_Bo

Author / organizationNurshatMenglik
License (as declared)cc-by-4.0
Downloads993 (as reported by Hugging Face)
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Created27 December 2025
Last updated at source19 August 2026
computational-fluid-dynamicsnatural-convectionboussinesqcompressible-flowfinite-element-methodscientific-machine-learning
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