首页|Data from Singapore University of Technology and Design Provide New Insights int o Machine Learning (Architected Design and Fabrication of Soft Mechanical Metama terials)
Data from Singapore University of Technology and Design Provide New Insights int o Machine Learning (Architected Design and Fabrication of Soft Mechanical Metama terials)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingoriginating in Singapore, Singapor e, by NewsRx journalists, research stated, “This study proposes asystematic des ign approach to 3D print soft mechanical metamaterials by tuning material flow b ehaviorand using optimal toolpaths and print parameters. Planar printing tool p aths, utilized in layer-by-layerprinting such as fused deposition modeling (FDM ) and prevalently used in most slicing algorithms, severelylimit the realizatio n of complex topologies required in metamaterials.”
SingaporeSingaporeAsiaMachine Lear ningSingapore University of Technology and Design
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