Search Results for author: Di Xiao

Found 4 papers, 0 papers with code

Mapping the phase diagram of the quantum anomalous Hall and topological Hall effects in a dual-gated magnetic topological insulator heterostructure

no code implementations10 Mar 2021 Run Xiao, Di Xiao, Jue Jiang, Jae-Ho Shin, Fei Wang, Yi-Fan Zhao, Ruo-Xi Zhang, Anthony Richardella, Ke Wang, Morteza Kayyalha, Moses H. W. Chan, Chao-Xing Liu, Cui-Zu Chang, Nitin Samarth

We use magnetotransport in dual-gated magnetic topological insulator heterostructures to map out a phase diagram of the topological Hall and quantum anomalous Hall effects as a function of the chemical potential (primarily determined by the back gate voltage) and the asymmetric potential (primarily determined by the top gate voltage).

Mesoscale and Nanoscale Physics

Abrupt switching of the anomalous Hall effect by field-rotation in nonmagnetic ZrTe5

no code implementations7 Jan 2021 Joshua Mutch, Xuetao Ma, Chong Wang, Paul Malinowski, Joss Ayres-Sims, Qianni Jiang, Zhaoyu Liu, Di Xiao, Matthew Yankowitz, Jiun-Haw Chu

The angular dependence of the Hall resistivity approaches a signum function, persisting down to an extremely low field of 0. 03 T. By varying the carrier density of ZrTe5 over three orders of magnitude, we show that this singular behavior is due to the anomalous Hall effect generated by the ultra-dilute massive Dirac carriers in the quantum limit of Pauli paramagnetism when the Zeeman energy exceeds the Fermi energy.

Mesoscale and Nanoscale Physics

Double-peaked Pulse Profile of FRB 200428: Synchrotron Maser from Magnetized Shocks Encountering a Density Jump

no code implementations28 Oct 2020 Di Xiao, Zi-Gao Dai

Very recently a fast radio burst (FRB) 200428 associated with a strong X-ray burst from the Galactic magnetar SGR 1935+2154 has been detected, which is direct evidence supporting the magnetar progenitor models of FRBs.

High Energy Astrophysical Phenomena

Deep Learning for Automated Quality Assessment of Color Fundus Images in Diabetic Retinopathy Screening

no code implementations7 Mar 2017 Sajib Kumar Saha, Basura Fernando, Jorge Cuadros, Di Xiao, Yogesan Kanagasingam

Three retinal image analysis experts were employed to categorize these images into Accept and Reject classes based on the precise definition of image quality in the context of DR. A deep learning framework was trained using 3428 images.

Image Quality Assessment

Cannot find the paper you are looking for? You can Submit a new open access paper.