2360 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 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 extends the Vavilov-Aleiner-Glazman kinetic framework to derive strong-field asymptotics for Hall field-induced resistance oscillations (HIRO) with a two-harmonic density of states, demonstrating that analyzing odd harmonics allows for the precise extraction of scattering times , , and to sub-percent accuracy.
This study demonstrates that the anisotropic magnetoresistance (AMR) in the atomically thin antiferromagnetic semiconductor NiPS3 remains robust down to 1.3 nm and is fully gate-tunable, enabling precise electrical readout and control of the Néel vector for advanced spintronic applications.
This paper proposes that semimetallic systems with non-trivial quantum geometry, such as quadratic band-touching semimetals and singular flat bands, enable ultrafast, stable current switching driven by interband coupling and finite density of states, outperforming conventional materials and offering realistic platforms like bilayer graphene and monolayer bismuth for next-generation electronics.
This paper presents a modular, cryogenic microwave link that successfully connects superconducting quantum systems over distances up to 30 meters, enabling distributed quantum computing and non-locality certification while maintaining operating temperatures below 50 mK.
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.
This paper establishes a framework to disambiguate the competing contributions of spin pumping and spin-torque ferromagnetic resonance in electrical detection of magnetization dynamics within magnetic insulators, demonstrating that signal sign and magnitude are governed by spin-wave profiles, magnetic damping, and device geometry rather than magnon chirality alone.
This paper proposes a deterministic, non-relativistic framework where wave-function collapse arises from a gravitational bifurcation in a nonlinear Schrödinger equation, leading to stable localized states without stochastic noise or environmental coupling.
This paper introduces a trajectory-resolved kinetic Monte Carlo framework to model charge transport in graphene beyond the ballistic regime, revealing how vacancies, temperature, magnetic fields, and strain collectively influence current, transmittance, and conductance in realistic two-dimensional carbon systems.