2352 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 paper demonstrates the observation of magnetic clock transitions in near-surface As spins in silicon using low-field continuous-wave electrically detected magnetic resonance (EDMR), establishing the technique as a sensitive method for studying decoherence suppression in silicon-based quantum devices.
This paper demonstrates that Howe duality provides the fundamental algebraic structure for super Landau models, enabling the explicit construction of supermonopole harmonics and the derivation of fuzzy supersphere geometries through a dual relationship between internal and external spaces.
This study demonstrates that colossal negative dielectric permittivity can be achieved in single-phase calcium ferrite solely by restructuring its morphology into nano hollow spheres, a phenomenon attributed to phase inversion within the hollow cavity.
The paper demonstrates that Raman circular dichroism can be used to identify and characterize chiral edge modes in Kitaev quantum spin liquids by leveraging long-range correlated disorder to bypass traditional momentum selection rules.
This paper establishes a non-Bloch band theory framework to accurately calculate the continuum spectra and topological bulk-boundary correspondence of nonlinear eigenvalue problems, which are otherwise characterized by an extreme sensitivity to boundary conditions.
This paper demonstrates that first-order reversal curve (FORC) measurements, complemented by micromagnetic simulations, can effectively map how element geometry and spacing govern magnetization reversal pathways and interaction landscapes in artificial spin ice arrays.
This paper investigates the use of transition metal dichalcogenide (TMD) nanosphere arrays as a versatile platform for structural colors, demonstrating that a wide range of hues can be achieved by tailoring nanoparticle size and spacing, while also exploring how excitonic transitions and lattice configurations can further enhance color tunability.
Researchers have demonstrated a scalable method for remotely reconfiguring spintronic neural networks by using broadcast radiofrequency signals to selectively program vortex-based magnetic tunnel junction weights, allowing the same hardware to switch between distinct tasks like digit classification and drone signature identification.
This paper introduces a gauge-covariant projected entangled-pair state (PEPS) framework that allows for the simulation of interacting particles in a magnetic field using translation-invariant tensor networks, effectively bypassing the need for gauge choices or enlarged magnetic unit cells.
This paper demonstrates that the terahertz nonlinearity of graphene can be electrically tuned using low gating voltages, enabling an enhancement in third-harmonic generation efficiency by two orders of magnitude and providing a pathway for practical, high-frequency electronic signal processing devices.