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Physics–Informed Neural Networks (PINNs) have demonstrated efficacy in solving both forward and inverse problems for nonlinear partial differential equations (PDEs). However, they …
The Ekman equation is a fundamental model for describing the wind stress response in the ocean's upper layer,with its key parameters—the vertical eddy viscosity coefficient (VEVC) …
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Ocean Scientist
Dr. Hengkai Yao (姚恒恺) is a lecturer of School of Mathmetica and Physics at the Qingdao University of Science and Technology. He got Ph.D of Physical Oceanograpy from Ocean University of China. His research interests include mesoscale eddies, ocean modeling and AI oceanography. He is member of the AI Oceanography group, which develops big data in ocean, ocean simulation, and ocean prediction. He is also a chief scientist in Qingdao Oakfull Water Technology Co., Ltd.
Hello, I'm
Ocean Scientist
Dr. Hengkai Yao (姚恒恺) is a lecturer of School of Mathmetica and Physics at the Qingdao University of Science and Technology. He got Ph.D of Physical Oceanograpy from Ocean University of China. His research interests include mesoscale eddies, ocean modeling and AI oceanography. He is member of the AI Oceanography group, which develops big data in ocean, ocean simulation, and ocean prediction. He is also a chief scientist in Qingdao Oakfull Water Technology Co., Ltd.
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scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under …
Artificial intelligence research
Quantum computing systems
Our Journey of Discovery
Established core ML research
Added biomedical applications
AI for scientific discovery
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Ph.D Physical Oceanography
2017-09-01
2024-01-08
Ocean University of China
MS Physical Oceanography
2015-09-01
2017-07-30
Ocean University of China
BS Marine Science
2011-09-01
2015-06-30
Ocean University of China
🚀Qingdao University of Science and Technology
Responsibilities include:
IOCAS RV KEXUE
Texas A&M University
Laoshan Lab (QNLM)
Ocean University of China
Ocean University of China
Ocean University of China
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Nature, Science, Cell, PNAS
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From 12 countries worldwide
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