most citedLeveraging Low-Fidelity Data to Improve Machine Learning of Sparse High-Fidelity Thermal Conductivity Data via Transfer Learning

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

physics.app-ph2024

Experimental observation of ballistic to diffusive transition in AlN thin films

Md Shafkat Bin Hoque, Michael E. Liao, Saman Zare +10

Bulk AlN possesses high thermal conductivity due to long phonon mean-free-paths, high group velocity, and long lifetimes. However, the thermal transport scenario becomes very diffe…

cond-mat.mtrl-sci2022★ 1 cited

Leveraging Low-Fidelity Data to Improve Machine Learning of Sparse High-Fidelity Thermal Conductivity Data via Transfer Learning

Zeyu Liu, Meng Jiang, Tengfei Luo

Lattice thermal conductivity (TC) of semiconductors is crucial for various applications, ranging from microelectronics to thermoelectrics. Data-driven approach can potentially esta…

cond-mat.mes-hall2022

Ballistic Thermal Transport at Sub-10 nm Laser-Induced Hot Spots in GaN Crystal

Dezhao Huang, Qiangsheng Sun, Zeyu Liu +3

Gallium nitride (GaN) is a typical wide-bandgap semiconductor with a critical role in a wide range of electronic applications. Ballistic thermal transport at nanoscale hotspots wil…