2818 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 that the spin-1 AKLT Hamiltonian can be realized in tunable quantum-dot arrays by deriving an effective bilinear-biquadratic spin model from half-filled Hubbard tripods, where specific hopping parameters and coupling geometries yield the characteristic singlet-triplet degeneracy while suppressing unwanted longer-range interactions.
This paper investigates the transition from tomographic to conventional transport in two-dimensional Fermi liquids under a magnetic field by using a numerically exact solution of the linearized Boltzmann equation to demonstrate that a critical magnetic field causes one of two diffusive tomographic collective modes to disappear, leaving a remaining mode that becomes increasingly hydrodynamic at higher fields.
This paper demonstrates a nanoscale sensing technique that utilizes a single nitrogen-vacancy center in diamond to detect and map boron vacancy defects in hexagonal boron nitride by measuring changes in spin relaxation time () caused by cross-relaxation, thereby enabling optical-free characterization of 2D spin systems beyond the diffraction limit.
Using terahertz emission spectroscopy on wedge-shaped heavy metal|Ni heterostructures, this study provides the first direct experimental evidence that orbital mean free paths in heavy metals are ultrashort (sub-nanometer scale) and shorter than spin counterparts, confirming that bulk inverse orbital Hall effect governs orbital-to-charge conversion.
This interdisciplinary paper proposes that the one-form global symmetry and its anomaly serve as a unifying organizing principle to constrain and uniquely identify the minimal topological orders underlying various fractional quantum Hall systems based on their Hall conductivity.
This paper proposes that circularly polarized laser light can drive monolayer amorphous carbon into topological phases characterized by regular and anomalous edge modes, demonstrating that local atomic coordination and the spectral localizer marker are key to engineering topological states in disordered, non-crystalline materials.
This study demonstrates that coupling a multi-mode metal-insulator-metal cavity to a two-dimensional electron gas in a magnetic field creates hybrid magnetoplasmon-polariton modes where the inhomogeneous nature of the TM mode activates observable non-local Coulombic effects, offering a new pathway to probe Coulomb interactions in ultrastrongly coupled systems through cavity mode engineering.
This paper introduces iDART, an interferometric dual-AC resonance tracking technique that achieves over a 10-fold improvement in signal-to-noise ratio for piezoresponse force microscopy, enabling reliable quantitative imaging and spectroscopy of both strong and weak nanoscale electromechanical systems while mitigating artifacts associated with high-voltage excitation.
This paper presents a computationally efficient two-band model for SiGe heterostructures that accurately reproduces atomistic tight-binding results for valley splittings and captures essential valley-orbit mixing effects, thereby enabling realistic simulations of spin qubit devices and electron-phonon interactions.
This paper proposes a multiscale computational framework to bridge the gap between molecular structure and memristive function in organic materials, examining ionic migration, redox-driven switching, and chiral conduction mechanisms to guide the design of next-generation neuromorphic hardware.