Robotics & Machine Learning Daily News2024,Issue(Aug.22) :60-61.

Research Conducted at Harbin Institute of Technology Has ProvidedNew Informatio n about Machine Learning [The Mechanical Anisotropy and Failu re Mechanism of Poly(p-phenylene Terephthalamide) Using Machine Learning Molecul ar Dynamics …]

Robotics & Machine Learning Daily News2024,Issue(Aug.22) :60-61.

Research Conducted at Harbin Institute of Technology Has ProvidedNew Informatio n about Machine Learning [The Mechanical Anisotropy and Failu re Mechanism of Poly(p-phenylene Terephthalamide) Using Machine Learning Molecul ar Dynamics …]

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Machine Learning have been prese nted. According to news reporting originatingin Harbin, People’s Republic of Ch ina, by NewsRx journalists, research stated, “As a peculiarly polymericcrystall ine material, poly(p-phenylene terephthalamide) (PPTA) presents anisotropy accor ding to thedifferent intermolecular interactions, such as van der Waals (vdW) b onding along it’s a-axis, hydrogenbonding along its b-axis, and covalent bonding along its c-axis. The high anisotropy leads to the difficultiesand challenges for experimental and theoretical studies on the complex mechanical behavior.”

Key words

Harbin/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Molecular Dynamics/Physics/Harbin Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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