首页|Findings from Hainan University Provides New Data on Machine Learning (Ultra-wid e Low-frequency Bandgap Characteristics of Auxeticity-based Composite Resonator for Elastic Wave Manipulation and Machine Learning-based Inverse Structural Desi gn)
Findings from Hainan University Provides New Data on Machine Learning (Ultra-wid e Low-frequency Bandgap Characteristics of Auxeticity-based Composite Resonator for Elastic Wave Manipulation and Machine Learning-based Inverse Structural Desi gn)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingfrom Haikou, People’s Republic of Ch ina, by NewsRx editors, the research stated, “Although auxeticmetamaterials are generally light in weight, strong in compression and superior in energy absorpt ion, lessresearch has focused on their low-frequency bandgap realization and in verse structural design. Moreover,broadening the width of bandgap of auxetic me tamaterials keep challenging as well in practical lowfrequencyapplications.”
HaikouPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningHainan University
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