16 citations · 64 across the 7 of their papers we have counts for
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cond-mat.mtrl-sci2022★ 15 cited
Removing grid structure in angle-resolved photoemission spectra via deep learning method
Junde Liu, Dongchen Huang, Yi-feng Yang +1
Spectroscopic data may often contain unwanted extrinsic signals. For example, in ARPES experiment, a wire mesh is typically placed in front of the CCD to block stray photo-electron…
cond-mat.mtrl-sci2022★ 11 cited
Spectroscopic data de-noising via training-set-free deep learning method
Dongchen Huang, Junde Liu, Tian Qian +1
De-noising plays a crucial role in the post-processing of spectra. Machine learning-based methods show good performance in extracting intrinsic information from noisy data, but oft…