31 citations · 60 across the 3 of their papers we have counts for
4 papers · 1 filter
Ab initio phonon transport across grain boundaries in graphene using machine learning based on small dataset
Amirreza Hashemi, Ruiqiang Guo, Keivan Esfarjani +1
Establishing the structure-property relationship for grain boundaries (GBs) is critical for developing next generation functional materials, but has been severely hampered due to i…
Mie Scattering of Phonons by Point Defects in IV-VI Semiconductors PbTe and GeTe
Ruiqiang Guo, Sangyeop Lee
Point defects in solids such as vacancy and dopants often cause large thermal resistance. Because the lattice site occupied by a point defect has a much smaller size than phonon wa…
Machine-learning based interatomic potential for phonon transport in perfect crystalline Si and crystalline Si with vacancies
Hasan Babaei, Ruiqiang Guo, Amirreza Hashemi +1
We report that single interatomic potential, developed using Gaussian regression of density functional theory calculation data, has high accuracy and flexibility to describe phonon…
Hydrodynamic Phonon Transport: Past, Present, and Prospect
Sangyeop Lee, Xun Li
The hydrodynamic phonon transport was studied several decades ago for verifying the quantum theory of lattice thermal transport. Recent prediction of significant hydrodynamic phono…