Stability of Taylor-Couette Flow with Odd Viscosity

Kavli Affiliate: Rudolf Podgornik | First 5 Authors: Guangle Du, Rudolf Podgornik, , , | Summary: Odd viscosity can emerge in 3D hydrodynamics when the time reversal symmetry is broken and anisotropy is introduced. Its ramifications on the stability of the prototypical Taylor-Couette flow in curved geometries have remained unexplored. Here, we investigate the effects […]


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Multiagent Reinforcement Learning with an Attention Mechanism for Improving Energy Efficiency in LoRa Networks

Kavli Affiliate: Bo Gu | First 5 Authors: Xu Zhang, Ziqi Lin, Shimin Gong, Bo Gu, Dusit Niyato | Summary: Long Range (LoRa) wireless technology, characterized by low power consumption and a long communication range, is regarded as one of the enabling technologies for the Industrial Internet of Things (IIoT). However, as the network scale […]


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Particle-hole asymmetric ferromagnetism and spin textures in the triangular Hubbard-Hofstadter model

Kavli Affiliate: Cheng Peng | First 5 Authors: Jixun K. Ding, Luhang Yang, Wen O. Wang, Ziyan Zhu, Cheng Peng | Summary: In a lattice model subject to a perpendicular magnetic field, when the lattice constant is comparable to the magnetic length, one enters the "Hofstadter regime," where continuum Landau levels become fractal magnetic Bloch […]


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Particle-hole asymmetric ferromagnetism and spin textures in the triangular Hubbard-Hofstadter model

Kavli Affiliate: Cheng Peng | First 5 Authors: Jixun K. Ding, Luhang Yang, Wen O. Wang, Ziyan Zhu, Cheng Peng | Summary: In a lattice model subject to a perpendicular magnetic field, when the lattice constant is comparable to the magnetic length, one enters the "Hofstadter regime," where continuum Landau levels become fractal magnetic Bloch […]


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Introspective Deep Metric Learning

Kavli Affiliate: Zheng Zhu | First 5 Authors: Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu | Summary: This paper proposes an introspective deep metric learning (IDML) framework for uncertainty-aware comparisons of images. Conventional deep metric learning methods focus on learning a discriminative embedding to describe the semantic features of images, which ignore […]


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Bridging two quantum quench problems — local joining quantum quench and Möbius quench — and their holographic dual descriptions

Kavli Affiliate: Masahiro Nozaki | First 5 Authors: Jonah Kudler-Flam, Masahiro Nozaki, Tokiro Numasawa, Shinsei Ryu, Mao Tian Tan | Summary: We establish an equivalence between two different quantum quench problems, the joining local quantum quench and the M"obius quench, in the context of $(1+1)$-dimensional conformal field theory (CFT). Here, in the former, two initially […]


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Edge-Assisted Lightweight Region-of-Interest Extraction and Transmission for Vehicle Perception

Kavli Affiliate: Cheng Peng | First 5 Authors: Yan Cheng, Peng Yang, Ning Zhang, Jiawei Hou, | Summary: To enhance on-road environmental perception for autonomous driving, accurate and real-time analytics on high-resolution video frames generated from on-board cameras be-comes crucial. In this paper, we design a lightweight object location method based on class activation mapping […]


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Non-equilibrium spin polarisation via interfacial exchange-field spin filtering

Kavli Affiliate: Zheng Zhu | First 5 Authors: Prasanta Muduli, Naëmi Leo, Mingran Xu, Zheng Zhu, Jorge Puebla | Summary: A key phenomenon that enables nanoscale spintronic devices is the efficient inter-conversion between spin and charge degrees of freedom. Here, we experimentally demonstrate a pathway to generate current-induced spin polarization at the interface between an […]


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Electrical detection of interfacial exchange field at the (ferromagnetic insulator)|(normal metal) interface using spin-dependent scattering

Kavli Affiliate: Zheng Zhu | First 5 Authors: Prasanta Muduli, Naëmi Leo, Mingran Xu, Zheng Zhu, Jorge Puebla | Summary: The spin-orbit field and interfacial exchange field are two major interface phenomena, and the detection and manipulation of these fields can enable a variety of nanoscale spintronics devices. Optimizing the interfacial exchange field, which governs […]


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Unified Single-Stage Transformer Network for Efficient RGB-T Tracking

Kavli Affiliate: Zheng Zhu | First 5 Authors: Jianqiang Xia, DianXi Shi, Ke Song, Linna Song, XiaoLei Wang | Summary: Most existing RGB-T tracking networks extract modality features in a separate manner, which lacks interaction and mutual guidance between modalities. This limits the network’s ability to adapt to the diverse dual-modality appearances of targets and […]


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