2446 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 introduces a Minkowski-space modeling framework that treats the complex wave propagation in hyperbolic materials as a geometric effect, enabling the rational design of ultra-high-resolution lenses with deep sub-diffraction focusing capabilities.
This paper reports the discovery of an emergent giant topological Hall effect in twisted Fe3GeTe2 metallic systems within a narrow "magic" twist angle range, which arises from a skyrmion lattice driven by local inversion symmetry breaking despite the preservation of global inversion symmetry.
This paper presents a first-principles framework using ab initio transmission line model simulations to characterize metal/2D-semiconductor interfaces, revealing universal tunneling limits and identifying optimal contact strategies for next-generation 2D transistors as devices approach the sub-2 nm technology node.
By combining AC magnetometry with dynamic micromagnetic simulations, this study reveals how grain size in magnetic nanoparticles governs the spatio-temporal distribution of heat generation through disorder and pinning effects, providing design principles for optimizing nanoflower architectures for magnetic hyperthermia.
Using spin- and angle-resolved photoemission spectroscopy on the chiral topological semimetal RhSi, researchers directly quantified bulk electronic chirality by measuring spin-momentum locking deviations to define an energy-dependent normalized electron chirality density (NECD) that successfully predicts magneto-optical and transport responses.
This paper utilizes composite boson theory to map the crystallization of two-dimensional electron systems in magnetic fields to bosonic phases, demonstrating that sufficiently soft rotons drive first-order transitions from Hall liquids to Hall crystals and subsequent continuous transitions to Wigner crystals, with the critical behavior described by free Dirac fermions and lattice preferences shifting from triangular to honeycomb structures in fractional regimes due to kinetic frustration.
This theoretical study proposes a protein-free, all-solid-state DNA sequencing method that achieves reliable base-by-base ratcheting by combining voltage-triggered digital unzipping with a reversible electrostatic hold mechanism to overcome intrinsic translocation speed limitations.
This paper reports the discovery of spatiotemporal magnonic vortex beams in ferromagnetic nanostrips that feature immobile phase dislocations, zigzag wave propagation, and spatially alternating transverse orbital angular momentum, distinguishing them from their photonic and acoustic counterparts.
This paper proposes a material-agnostic platform using gate-tunable two-dimensional conductors to universally control quantum electrodynamic interactions, enabling in situ electrical tuning of their range and strength from bulk power laws to exponential screening or logarithmic antiscreening by manipulating the reflection phase of transverse cavity harmonics.
This paper introduces an efficient, low-rank adaptation of BrushNet that leverages minimal fine-tuning on a small dataset of scanning probe microscopy images to achieve superior artifact removal and structural restoration, outperforming zero-shot methods and matching full retraining while requiring significantly fewer computational resources.