首页|Nanjing Tech University Researcher Provides New Insights into Machine Learning ( Deep Learning Accelerated Design of Bezier Curve-Based Cellular Metamaterials wi th Target Properties)
Nanjing Tech University Researcher Provides New Insights into Machine Learning ( Deep Learning Accelerated Design of Bezier Curve-Based Cellular Metamaterials wi th Target Properties)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in artific ial intelligence. According to news reporting originating from Jiangsu, People's Republic of China, by NewsRx correspondents, research stated, "Machine learning has sparked significant interest in the realm of designing mechanical metamater ials. These metamaterials derive their unique properties from microstructures ra ther than the constituent materials themselves." Funders for this research include National Key Research And Development Program of China. The news editors obtained a quote from the research from Nanjing Tech University : "In this context, we introduce a novel data-driven approach for the design of an orthotropic cellular metamaterials with specific target properties. Our metho dology leverages a Bezier curve framework with strategically placed control poin ts. A machine learning model harnesses the positions of these control points to achieve the desired material properties. This process consists of two main steps . Initially, we establish a forward model capable of predicting material propert ies based on given designs. Then, we construct an inverse model that takes mater ial properties as inputs and produces corresponding design parameters as outputs . Our results demonstrate that the dataset generated using the Bezier curve-base d strategy shows a wide range of elastic distributions. Describing the geometry in terms of design parameters, rather than pixel-based figures, enhances the tra ining efficiency of the networks."
Nanjing Tech UniversityJiangsuPeople 's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning