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The van der Waals (vdW) antiferromagnet CrSBr has recently garnered significant attention due to its air stability, high magnetic transition temperature, and semiconducting properties. We investigate its nonlinear transport properties and identify a quantum-metric-dipole (QMD)-induced nonlinear anomalous Hall effect and nonlinear longitudinal resistivity, which switch signs upon reversing the Néel vector. The significant QMD originates from Dirac nodal lines near the conduction band edge within the experimentally achievable doping range. Knowing the weak interlayer coupling, it is unexpected that the nonlinear conductivities do not scale with the sample thickness but are dominantly contributed by surface layers. In the electron-doped region, the top layer dominates the response, while the top three layers contribute the most in the hole-doped region. Our results establish topological nodal lines as a guiding principle to design high-performance nonlinear quantum materials, and we suggest that surface-sensitive transport devices will provide new avenues for nonlinear electronic applications.
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http://dx.doi.org/10.1021/acs.nanolett.5c00195 | DOI Listing |
J Phys Condens Matter
September 2025
Department of Physics, Xiamen University, xiamen, Xiamen, Fujian, 361005, CHINA.
Thermal rectification, arising from asymmetric heat transport under opposite temperature gradients, is essential for thermal management in electronics. We present a generalized optimization strategy for two-segment rectifiers based on Fourier's law, showing that the rectification ratio $R$, defined as the forward-to-reverse heat flux ratio, is maximized when the interface temperatures coincide in both directions. By expressing $R$ as a function of interface temperature and extending the analysis to arbitrary temperature-dependent thermal conductivities $\kappa(T)$, we develop an analytical framework to optimize rectifiers with dissimilar segments.
View Article and Find Full Text PDFPhys Rev Lett
August 2025
Gran Sasso Science Institute, The University of Edinburgh, School of Mathematics, Edinburgh EH93FD, United Kingdom and School of Mathematics, 67100 L'Aquila, Italy.
Multilayer networks provide a powerful framework for modeling complex systems that capture different types of interactions between the same set of entities across multiple layers. Core-periphery detection involves partitioning the nodes of a network into core nodes, which are highly connected across the network, and peripheral nodes, which are densely connected to the core but sparsely connected among themselves. In this paper, we propose a new model of core-periphery structure in multilayer networks and a nonlinear spectral method that simultaneously detects the corresponding core and periphery structures of both nodes and layers in weighted and directed multilayer networks.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.
This research explores the dynamical properties and solutions of actin filaments, which serve as electrical conduits for ion transport along their lengths. Utilizing the Lie symmetry approach, we identify symmetry reductions that simplify the governing equation by lowering its dimensionality. This process leads to the formulation of a second-order differential equation, which, upon applying a Galilean transformation, is further converted into a system of first-order differential equations.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Max Planck Institute for Solar System Research, Göttingen 37077, Germany.
Turbulent convection governs heat transport in both natural and industrial settings, yet optimizing it under extreme conditions remains a significant challenge. Traditional control strategies, such as predefined temperature modulation, struggle to achieve substantial enhancement. Here, we introduce a deep reinforcement learning (DRL) framework that autonomously discovers optimal control policies to maximize heat transfer in turbulent Rayleigh-Bénard convection.
View Article and Find Full Text PDFNanoscale
September 2025
Polymer Electrolytes and Materials Group (PEMG), Department of Physics, Indian Institute of Technology Jodhpur, Karwar, Rajasthan 342030, India.
Understanding ion transport mechanisms in sodium ion-based polymer electrolytes is critical, considering the emergence of sodium ion electrolyte technologies as sustainable alternatives to lithium-based systems. In this paper, we employ all-atom molecular dynamics simulations to investigate the salt concentration () effects on ionic conductivity () mechanisms in sodium hexafluorophosphate (NaPF) in polyethylene oxide (PEO) electrolytes. Sodium ions exhibit ion solvation shell characteristics comparable to those of lithium-based polymer electrolytes, with similar anion coordination but more populated oxygen coordination in the polymer matrix.
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