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Explore mesh generation and adaptation techniques using Green AI in this FEM@LLNL seminar presented by Rubén Sevilla from Swansea University. Discover how artificial intelligence can predict near-optimal meshes for simulations, reducing human intervention and expertise requirements. Learn about leveraging existing industry data to improve spacing function selection, including anisotropic spacing. Evaluate the proposed method's accuracy, efficiency, and environmental impact, considering carbon footprint and energy consumption in parametric computational fluid dynamics (CFD) analysis. Gain insights into the advantages of high-order methods for transient problems and the use of degree adaptive schemes. Understand how AI can aid in degree adaptive processes for enhanced approximation. Explore the potential of these techniques to streamline mesh generation and adaptation in finite element research and applications.
