首页|International School for Advanced Studies (SISSA) Researchers Publish Findings i n Machine Learning (Large-scale graph-machinelearning surrogate models for 3D-f lowfield prediction in external aerodynamics)
International School for Advanced Studies (SISSA) Researchers Publish Findings i n Machine Learning (Large-scale graph-machinelearning surrogate models for 3D-f lowfield prediction in external aerodynamics)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingout of the International Sc hool for Advanced Studies (SISSA) by NewsRx editors, research stated, “The artic le presents the application of inductive graph machine learning surrogate models for accurate andefficient prediction of 3D flow for industrial geometries, exp licitly focusing here on external aerodynamicsfor a motorsport case.”
International School for Advanced Studie s (SISSA)CyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
