首页|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)
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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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.”
XiangtanPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningHunan University
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