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Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics - Phys.org [Visit Site | Read More]
Realisability-informed machine learning for turbulence anisotropy mappings - Cambridge University Press & Assessment [Visit Site | Read More]
Modelling fluid-film bearings in high-speed rotating machinery considering the prehistory of dynamic phenomena - Nature [Visit Site | Read More]
Simulating Fluid Mechanics using Quantum Computing on Amazon Braket with Haiqu and Quanscient - Amazon Web Services (AWS) [Visit Site | Read More]
Using AI, Mathematicians Find Hidden Glitches in Fluid Equations - Quanta Magazine [Visit Site | Read More]
Fluid mechanics and the energy transition - University of Cambridge [Visit Site | Read More]