In this work, we theoretically study a modified Su-Schrieffer-Heeger (SSH) model in which each unit cell consists of three sites. Unlike existing extensions of the SSH model which are made by enlarging the periodicity of the (nearest-neighbor) hopping amplitudes, our modification is obtained by replacing the Pauli matrices in the system's Hamiltonian by their higher dimensional counterparts. This, in turn, leads to the presence of next-nearest neighbor hopping terms and the emergence of different symmetries than those of other extended SSH models. Moreover, the system supports a number of edge states that are protected by a combination of particle-hole, time-reversal, and chiral symmetry. Finally, our system could be potentially realized in various experimental platforms including superconducting circuits as well as acoustic/optical waveguide arrays.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1088/1361-648X/ad744c | DOI Listing |
Nano Lett
January 2025
Institute of Experimental and Applied Physics, Kiel University, Leibnizstr. 11-19, Kiel 24098, Germany.
Topological plasmonics combines principles of topology and plasmonics to provide new methods for controlling light, analogous to topological edge states in photonics. However, designing such topological states remains challenging due to the complexity of the high-dimensional design space. We present a novel method that uses supervised, physics-informed deep learning and surrogate modeling to design topological devices for desired wavelengths.
View Article and Find Full Text PDFNat Commun
January 2025
iHuman Institute, ShanghaiTech University, Shanghai, China.
The apelin receptor (APJR) emerges as a promising drug target for cardiovascular health and muscle regeneration. While prior research unveiled the structural versatility of APJR in coupling to Gi proteins as a monomer or dimer, the dynamic regulation within the APJR dimer during activation remains poorly understood. In this study, we present the structures of the APJR dimer and monomer complexed with its endogenous ligand apelin-13.
View Article and Find Full Text PDFEnviron Monit Assess
December 2024
Department of VLSI Microelectronics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, 602105, Tamil Nadu, India.
Knowledge of soil temperature (ST) is important for analysing environmental conditions and climate change. Moreover, ST is a vital element of soil that impacts crop growth as well as the germination of the seeds. In this study, four machine-learning (ML) paradigms including random forest (RF), radial basis neural network (RBNN), multi-layer perceptron neural network (MLPNN), and co-active neuro-fuzzy inference system (CANFIS) were used for estimation of daily ST at different soil depths (i.
View Article and Find Full Text PDFHypertens Res
December 2024
Cardiovascular Prevention & Research Unit, Clinic/Laboratory of Pathophysiology, Laiko Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
The prevalence of systolic hypertension phenotypes based on simultaneous 24-h brachial (br) and aortic (ao) ambulatory blood pressure monitoring (ABPM) remains unknown. We sought to describe their prevalence and associations with hypertension mediated organ damage (HMOD). Participants with 24-h br and ao ABPM, carotid ultrasound and echocardiography data were categorized into 4 systolic hypertension phenotypes: sustained systolic br and ao normotension (SSN), isolated br systolic hypertension (IbrSH), isolated ao systolic hypertension (IaoSH) and sustained br and ao systolic hypertension (SSH).
View Article and Find Full Text PDFArthroscopy
December 2024
Commons Clinic, Long Beach, California, U.S.A.. Electronic address:
Generative artificial intelligence (AI) may revolutionize health care, providing solutions that range from enhancing diagnostic accuracy to personalizing treatment plans. However, its rapid and largely unregulated integration into medicine raises ethical concerns related to data integrity, patient safety, and appropriate oversight. One of the primary ethical challenges lies in generative AI's potential to produce misleading or fabricated information, posing risks of misdiagnosis or inappropriate treatment recommendations, which underscore the necessity for robust physician oversight.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!