Robotics & Machine Learning Daily News2024,Issue(Aug.7) :17-18.

Findings on Nanocomposites Discussed by Investigators at South China University of Technology (Machine Learning-based Optimal Design of an Acoustic Black Hole M etaplate for Enhanced Bandgap and Load-bearing Capacity)

Robotics & Machine Learning Daily News2024,Issue(Aug.7) :17-18.

Findings on Nanocomposites Discussed by Investigators at South China University of Technology (Machine Learning-based Optimal Design of an Acoustic Black Hole M etaplate for Enhanced Bandgap and Load-bearing Capacity)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Nanotechnol ogy - Nanocomposites. According to newsreporting out of Guangdong, People’s Rep ublic of China, by NewsRx editors, research stated, “Thispaper introduces a nov el machine learning-based optimization strategy for multi-functional acoustic bl ackhole (ABH) metaplates. The primary objective is to achieve a multi-functiona l metaplate with excellentperformance in elastic wave attenuation and load-bear ing capacity simultaneously.”

Key words

Guangdong/People’s Republic of China/A sia/Cyborgs/EmergingTechnologies/Machine Learning/Nanocomposites/Nanotechn ology/South China University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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