首页|Investigators from Deakin University Release New Data on Machine Learning (A Pre dictive Model for Turbulence Evolution and Mixing Using Machine Learning)
Investigators from Deakin University Release New Data on Machine Learning (A Pre dictive Model for Turbulence Evolution and Mixing Using Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news originating from Geelong, Australia, by News Rx correspondents, research stated, “The high cost associated with high-fidelity computational fluid dynamics (CFD) is one of the main challenges that inhibit t he design and optimisation of new fluid-flow systems. In this study, we explore the feasibility of a physics-informed deep learning approach to predict turbulen ce evolution and mixing without requiring a classical CFD solver.” Financial support for this research came from Deakin University Postgraduate Res earch Scholarship (DUPR).
GeelongAustraliaAustralia and New Ze alandCyborgsEmerging TechnologiesMachine LearningDeakin University
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