Author

Innyoung Kim

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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 · Zenodo (CERN European Organi... · 0 citations

#large language models Review Open access Oct 2026

Agentic AI for Computational Fluid Dynamics: A Review

Computational fluid dynamics (CFD) workflows remain strongly dependent on expert decisions in geometry preparation, meshing, model and solver configuration, convergence assessment, post-processing, and design iteration. This review examines agentic artificial intelligence (AI) for CFD automation and engineering design,...

Keon-Je Lee, Innyoung Kim · Applied Mechanics · 0 citations