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

1 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

physics.app-ph2024★ 1 cited

Machine Learning-Assisted 3D Printing of Thermoelectric Materials of Ultrahigh Performances at Room Temperature

Kaidong Song, Guoyue Xu, A. N. M. Tanvir +8

Thermoelectric energy conversion is an attractive technology for generating electricity from waste heat and using electricity for solid-state cooling. However, conventional manufac…

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…