首页|Investigators from Silesian University of Technology Zero in on Machine Learning (A Machine Learning-based Simplified Collision Model for Granular Flows)
Investigators from Silesian University of Technology Zero in on Machine Learning (A Machine Learning-based Simplified Collision Model for Granular Flows)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting originating from Gliwice, Pol and, by NewsRx correspondents, research stated, “This study aims to create an ef ficient, rapid, and reliable particle collision model utilizing machine learning techniques for granular flow simulations. A simplified surrogate collision mode l developed in the framework of a Hybrid Euler-Lagrange (HEL) technique was succ essfully applied to model particle interactions for flows with a low fraction of the granular phase.”
GliwicePolandEuropeCyborgsEmerging TechnologiesMachine LearningSilesian University of Technology
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