Robotics & Machine Learning Daily News2024,Issue(Aug.5) :35-36.

Studies from Xi’an Jiaotong University Have Provided New Information about Machi ne Learning (Strength Prediction and Design of Defective Graphene Based On Machi ne Learning Approach)

Robotics & Machine Learning Daily News2024,Issue(Aug.5) :35-36.

Studies from Xi’an Jiaotong University Have Provided New Information about Machi ne Learning (Strength Prediction and Design of Defective Graphene Based On Machi ne Learning Approach)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating from Xi’an, Peo ple’s Republic of China, by NewsRx correspondents, research stated,“Defects are inevitable in two-dimensional (2D) materials. Thus, the strength prediction and design arecrucial for practical application of defective 2D materials.”

Key words

Xi’an/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Xi’an Jiaotong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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