Abstract
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).
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