Robotics & Machine Learning Daily News2024,Issue(Mar.19) :54-54.DOI:10.1063/5.0190570

Researchers’ Work from Hunan University Focuses on Machine Learning (Understandi ng the Importance of Four-phonon Scattering In Low-symmetry Monolayer 1t’-res2 U sing Machine Learning Potential)

Robotics & Machine Learning Daily News2024,Issue(Mar.19) :54-54.DOI:10.1063/5.0190570

Researchers’ Work from Hunan University Focuses on Machine Learning (Understandi ng the Importance of Four-phonon Scattering In Low-symmetry Monolayer 1t’-res2 U sing Machine Learning Potential)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting out of Xiangtan, Peop le’s Republic of China, by NewsRx editors, research stated, “The importance of h igher-order anharmonic effects on thermal transport has recently been demonstrat ed in highly symmetrical 2D materials with large acoustic-phonon (A-O) gap. Howe ver, the phonon scattering and the thermal transport properties in low-symmetry structures remain ambiguous.”

Key words

Xiangtan/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Hunan University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量66
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