Data from Tongji University Provide New Insights into Machine Learning (Accurate Description of High-order Phonon Anharmonicity and Lattice Thermal Conductivity From Molecular Dynamics Simulations With Machine Learning Potential)

摘要

By a News Reporter-Staff News Editor at Robotics Machine Learning DailyNews - A new study on Machine Learning is now available. According to news reporting originating fromShanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Phonon anharmonicityis critical for accurately predicting the material’s thermal conductivity (kappa). However, its calculation based on the perturbation theory is a difficult and time-consuming task, especially for the high-order phononscattering process.”