We investigate the spin tunability of Dirac fermions on the surface of a 3D topological insulator in proximity to a helical spin density wave, acting as an applied one-dimensional periodic potential for spins produced by spiral multiferroic oxide. It is observed that the spin mean values of Dirac fermion undergo oscillations under the influence of such a periodic potential created by the exchange field of magnetization. The tunability of spin is strongly affected by the strength, orientation and period of the exchange field. In particular, the mean values of spin are anisotropic around the Dirac point, depending strongly on the amplitude and spatial period of the periodic potential. We also find that the spin expectation values change significantly by changing the plane of magnetization. Interestingly, the in-plane components of spin mean values perform pronounced oscillations, whereas the out of plane component does not oscillate at all. The oscillations of planar components of spin are originated from the spin-momentum locking on the surface of topological insulator.
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http://dx.doi.org/10.1088/1361-648X/acebaa | DOI Listing |
Science
January 2025
Division of Physics and Applied Physics, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore, Singapore.
Axions, hypothetical elementary particles that remain undetectable in nature, can arise as quasiparticles in three-dimensional crystals known as axion insulators. Previous implementations of axion insulators have largely been limited to two-dimensional systems, leaving their topological properties in three dimensions unexplored in experiment. Here, we realize an axion insulator in a three-dimensional photonic crystal and probe its topological properties.
View Article and Find Full Text PDFBackground: Statistical network analysis has transformed neuroimaging research in recent years by enabling flexible and intuitive integration of multiple data types and preserving the topological brain connectivity structure while uncovering mechanism of degenerative aging. In this study, we apply a novel latent space joint network model to perform a case-control comparison using the functional connectivity data together with region-specific cortical volume, cortical thickness, surface area and PET information. By preserving complex network structures during imaging biomarker detection, we find sex-specific topological structures associated with dementia.
View Article and Find Full Text PDFBackground: Predictive biomarkers characterizing disease progression are called for in the context of emerging treatments for Alzheimer's disease. We implemented a link prediction model on morphometric correlation networks(MCN) generated from structural MRI.
Method: High-resolution T1MPRAGE images were retrospectively collected at two timepoints (interval 2.
Alzheimers Dement
December 2024
University of Pennsylvania, Philadelphia, PA, USA.
Background: Histopathological analysis of autopsied brains is the gold standard of diagnosis in neurodegenerative disorders. Co-registered histology and MRI scans aid in understanding pathology and structural features. Previous studies focused on the medial temporal lobe (MTL) for atrophy patterns in phosphorylated tau (p-tau) pathology and in whole hemisphere scans with contralateral semi-quantitative p-tau measures.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Department of Physics, Chung-Ang University, Seoul, 06974, Republic of Korea.
The fundamental characteristics of collective interactions in topological band structures can be revealed by the exploration of charge screening in topological materials. In particular, distinct anisotropic screening behaviors are predicted to occur in Dirac nodal line semimetals (DNLSMs) due to their peculiar anisotropic low-energy dispersion. Despite the recent extensive theoretical research, experimental observations of exotic charge screening in DNLSMs remain elusive, which is partly attributed to the coexisting trivial bands near the Fermi energy.
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