493 citations · 4k across the 35 of their papers we have counts for
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physics.app-ph2022★ 17 cited
Machine learning reconstruction of depth-dependent thermal conductivity profile from pump-probe thermoreflectance signals
Zeyu Xiang, Yu Pang, Xin Qian +1
Characterizing materials with spatially varying thermal conductivities is significant to unveil the structure-property relation for a wide range of functional materials, such as ch…
cond-mat.mtrl-sci2022★ 46 cited
A new spatial-scan thermoreflectance method to measure a broad range of anisotropic in-plane thermal conductivity
Puqing Jiang, Dihui Wang, Zeyu Xiang +2
In-plane thermal conductivities of small-scale samples are hard to measure, especially for the lowly conductive ones and those lacking in-plane symmetry (i.e., transversely anisotr…