90 citations · 165 across the 4 of their papers we have counts for
4 papers
Deep-Learning-Aided Extraction of Optical Constants in Scanning Near-Field Optical Microscopy
Yueqi Zhao, Xinzhong Chen, Ziheng Yao +2
Scanning near-field optical microscopy is one of the most effective techniques for spectroscopy of nanoscale systems. However, inferring optical constants from the measured near-fi…
Deep learning analysis of polaritonic waves images
Suheng Xu, Alexander S. McLeod, Xinzhong Chen +11
Deep learning (DL) is an emerging analysis tool across sciences and engineering. Encouraged by the successes of DL in revealing quantitative trends in massive imaging data, we appl…
Hybrid Machine Learning for Scanning Near-field Optical Spectroscopy
Xinzhong Chen, Ziheng Yao, Suheng Xu +11
The underlying physics behind an experimental observation often lacks a simple analytical description. This is especially the case for scanning probe microscopy techniques, where t…
THz Near-Field Imaging of Extreme Subwavelength Metal Structures
Xinzhong Chen, Xiao Liu, Xiangdong Guo +15
Modern scattering-type scanning near-field optical microscopy (s-SNOM) has become an indispensable tool in material research. However, as the s-SNOM technique marches into the far-…