Robotics & Machine Learning Daily News2024,Issue(Jun.13) :71-72.

Findings from Nanjing Tech University Update Knowledge of Machine Learning (Machine Learning Guided Design of Mechanically Efficient Metamaterials With Auxeticity)

南京理工大学最新机器学习知识(机器学习引导的具有生长性的机械高效超材料设计)

Robotics & Machine Learning Daily News2024,Issue(Jun.13) :71-72.

Findings from Nanjing Tech University Update Knowledge of Machine Learning (Machine Learning Guided Design of Mechanically Efficient Metamaterials With Auxeticity)

南京理工大学最新机器学习知识(机器学习引导的具有生长性的机械高效超材料设计)

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摘要

机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据NewsRx记者从南京发回的新闻报道,研究表明:“手征结构材料具有优异的力学性能和可调性,为变形机器人、多功能结构和智能传感创新提供了潜在的解决方案。传统的设计和经验优化方法仍然是实现高效结构设计和优化的关键。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Nanjing, Peo ple's Republic of China, by NewsRx correspondents, research stated, “Chiral stru ctural materials with excellent mechanical properties and tunability offer poten tial solutions for deformable robots, multifunctional structures and smart senso r innovations. Traditional design and empirical optimization methods are still c hallenging to achieve efficient structural design and optimization that meets th e desired goals.”

Key words

Nanjing/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Nanjing Tech University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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