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Sangseung Lee

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#reinforcement learning Dataset Open access Oct 2026

Data and code for: Sample-efficient and stable reinforcement learning for active flow control via short-horizon solver gradients

Trained policies, training histories and evaluation outputs behind every table and figure of the article Sample-efficient and stable reinforcement learning for active flow control via short-horizon solver gradients (J. Kang, I. Kim, S. Lee; submitted to Computer Physics Communications), together with a snapshot of the...

Jiwon Kang, Innyoung Kim, Sangseung Lee · 0 citations
#software testing Open access Sep 2026

DL-AMR: Heteroscedastic Residual Learning for Dynamic Adaptive Mesh Refinement in Bluff-Body Wake Flows

GitHub-Zenodo software record (repository snapshot) accompanying the paper of the same name (Journal of Computational Physics, 2026). Contents: source code for the heteroscedastic U-Net (training, evaluation, TorchScript export), the OpenFOAM custom solver amrPimpleFoam with the in-plane refinement library hexRef4, sim...

Jiwon Kang, Minhyeok Oh, Jongmin Son et al. · 0 citations

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