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Author

K. Luo

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Sep 2026

Modeling the vertical structure of turbulence characteristics in the atmospheric boundary layer: A physics-informed neural operator and symbolic regression method

Accurately modeling turbulence intensity (TI) and gust factor (GU) is crucial for ensuring the structural integrity and operational efficiency of wind turbines. This study develops a physics-informed model for turbulence characteristics in the complex atmospheric boundary layer, leveraging 1 year of Doppler wind lidar...

Kai Wang, Qiang Wang, Kui-Bin Yang et al. · 0 citations
Review Open access Jul 2026

Closing the loop with generative AI and automated experimentation in electrochemical energy innovation.

Electrochemical energy technologies are central to the net-zero transition, yet their multiscale characteristics ranging from atomic materials to device architectures present critical challenges in research and development (R&D). Although artificial intelligence (AI) has accelerated discovery and design in this field,...

Zhiqiang Niu, Wanhui Zhao, L. Jackson et al. · 0 citations

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