3330 papers
Explore the fascinating intersection where quantum materials meet the complexity of everyday environments in the Cond-Mat — Mes-Hall section. This field investigates how tiny particles behave when caught between the orderly world of single atoms and the chaotic nature of bulk matter, revealing the hidden rules that govern electricity, magnetism, and heat in novel substances.
Gist.Science brings these cutting-edge discoveries to you directly from arXiv, the leading repository for physics preprints. We process every new submission in this category as soon as it appears, offering both straightforward, plain-language explanations and deep technical summaries to help researchers and curious minds alike grasp the latest breakthroughs without getting lost in dense equations.
Below are the most recent papers in this dynamic area of condensed matter physics, ready for you to explore.
This study demonstrates that transition-metal doping and edge-state engineering in monolayer SnO can effectively tailor its electronic and magnetic properties, inducing localized magnetic moments and creating metallic edge channels that make it a promising candidate for spintronic and nanoelectronic applications.
This paper formulates a framework for algebraic tomography of finite-dimensional non-Hermitian Floquet systems that reconstructs spectral data from observable trace sequences using characteristic polynomial constraints and resolvent methods, while clarifying identifiability limits and demonstrating applications in driven qutrits and SSH chains.
This paper demonstrates that Si/SiGe Wiggle Wells, despite the spatial randomization of Rabi frequencies caused by alloy disorder, can achieve high-fidelity, micromagnet-free EDSR gate operations by leveraging disorder-induced valley dipoles and identifying electric-field-insensitive "sweet spots."
This study theoretically demonstrates that strain engineering combined with electrostatic potentials in monolayer WSe serves as a powerful and versatile tool to controllably tune spin and valley polarizations via quantum interference and resonant tunneling, offering promising pathways for next-generation spintronic and valleytronic devices.
This paper demonstrates that a lateral shift between the legs of a quasiperiodic ladder acts as a tunable control knob generating effective magnetic flux in momentum space, thereby enabling rich localization-delocalization transitions and offering a versatile platform for studying localization physics.
This paper proposes that thermal inhomogeneity at the surface of neutron star nuclear pasta, combined with nuclear spin-orbit coupling, induces anomalous spin polarization in surface-localized neutrons even in the absence of a magnetic field, thereby bridging neutron star physics and solid-state spintronics.
This paper investigates a non-PT-symmetric one-dimensional non-Hermitian quasicrystal model, demonstrating that it generally supports triple phase transitions involving localization, topology, and degeneracy breaking, while also exhibiting distinct localization-delocalization transitions without topological or degeneracy-breaking changes, thereby extending the understanding of topological metal-insulator transitions beyond PT-symmetric systems.
This study demonstrates that tunable nearest-neighbor interactions in two-dimensional lattice polarons fundamentally alter the quasiparticle landscape by generating spectroscopically dark impurity states with distinct dipolar symmetries, thereby revealing new quantum many-body states beyond conventional polaron pictures.
This paper develops a site-resolved Non-Hermitian Twisting Theory using local scaling transformations and the Zahlen-Brillouin Zone to generalize the description of the skin effect to non-periodic and disordered systems, unifying metric operators with Riemannian geometry to establish a universal paradigm for real-space localization and phase transitions.
This paper presents an AI-driven, label-free Surface-enhanced Raman spectroscopy (SERS) platform that enables rapid, high-accuracy identification of extracellular vesicles from diverse cellular origins in non-invasive tear and sweat samples, offering a promising tool for personalized disease diagnosis.