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 asymmetric impurity scattering, when coupled with the anomalous spin polarizability of Bloch electrons, generates a significant extrinsic contribution to Neel spin-orbit torque in antiferromagnets like CuMnAs, offering a new band-geometry-driven mechanism for efficient electrical control.
This paper proposes that Dzyaloshinskii-Moriya interactions induce and energetically pin Dirac nodes in the spinon spectrum of a Kagome spin liquid through a mechanism involving band inversion, Chern number changes, and the coupling to spinon orbital magnetization, offering an alternative to symmetry protection.
This study demonstrates that coating diamond surfaces with a thin titanium oxide (TiO) layer effectively eliminates background "dark" electron spins, thereby doubling the coherence time of near-surface nitrogen-vacancy centers and enabling more sensitive nanoscale quantum sensing.
The paper introduces SPARX, a deep learning framework that rapidly and accurately predicts broadband dark-field spectra of plasmonic nanostructures from limited RGB images by leveraging physical resonance relationships, thereby overcoming the speed and consistency limitations of conventional spectroscopic techniques.
This paper proposes a method for detecting and controlling nuclear spins by coupling them to megahertz mechanical resonators, demonstrating that measuring the resonator's frequency variance caused by fluctuating spin polarization enables single nuclear spin detection.
This paper investigates how Coulomb interactions between electrons in -decaying impurities and their solid-state environment affect the energy resolution and visibility required for detecting the cosmic neutrino background, analyzing scenarios ranging from completely suppressed hybridization via dielectric spacers to cases where hybridization is treated perturbatively.
This paper presents a Wigner Transport Equation-based framework to model non-diffusive thermal transport driven by both phonon populations and coherences, predicting significant size-dependent thermal conductivity deviations in low-conductivity materials like CsPbBr and LaZrO at experimentally accessible length scales.
This study combines micromagnetic simulations and analytical modeling to reveal how the internal structural imbalance of skyrmioniums drives a finite Hall effect and diverse current-induced instability pathways, while also characterizing the rich collective dynamics of skyrmionium-based meta-matter for potential applications in tunable nonequilibrium topological systems.
This paper demonstrates that strong local impurities in a phononic metamaterial can serve as a spectroscopic probe to detect delicate topological insulators by observing persistent in-gap "ring states," which remain pinned in frequency and form a ring-shaped profile around the impurity even when the system's defining multicellularity is removed.
This review examines how machine learning and deep learning, particularly symmetry-aware architectures like E(3)-equivariant Graph Neural Networks, overcome the computational bottlenecks of traditional methods to accelerate the discovery of exotic quantum phases, including the automated identification of topological materials and the recent expansion of the altermagnet landscape.