Self-supervised learning for denoising quasiparticle interference data
Sign Up to like & getrecommendations! Published in 2024 at "Physical Review B"
DOI: 10.1103/physrevb.111.035136
Abstract: Tunneling spectroscopy is an important tool for the study of both real-space and momentum-space electronic structure of correlated electron systems. However, such measurements often yield noisy data. Machine learning provides techniques to reduce the noise… read more here.
Keywords: denoising quasiparticle; self supervised; quasiparticle; interference data ... See more keywords