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 study demonstrates through micromagnetic simulations that ferromagnetic nanoscrews exhibit robust bistability and enhanced coercivity driven by geometric parameters like eccentricity and torsion, which modify surface magnetostatic charges and stabilize unique mixed remanent states for potential applications in 3D nanomagnetism.
AutoMOOSE is an open-source agentic AI framework that autonomously orchestrates the entire phase-field simulation lifecycle—from generating input files and executing parallel runs to diagnosing and correcting runtime failures—enabling non-experts to conduct validated materials modeling campaigns with high accuracy and efficiency.
This paper introduces and experimentally demonstrates a robust quantum magnetometry scheme using Floquet prethermalization to steer spin orbits, achieving broadband sensitivity to target magnetic fields while intrinsically suppressing environmental noise and control imperfections by over 1000-fold.
This paper establishes a comprehensive semiclassical formalism based on an -expansion that treats real- and momentum-space geometries equally, deriving quantum-metric corrections to wave-packet dynamics and identifying novel transport phenomena such as metric-gradient-induced polarization and a linear Hall response.
This paper investigates hydrodynamic electron transport in GaAs/AlGaAs quantum wells, demonstrating that a dc-current-induced resistance valley arises from Joule heating and confirming that the resulting viscosity resistivity follows a dependence consistent with the electronic Gurzhi effect.
This study utilizes frequency-domain thermoreflectance and photoreflectance to reveal that the metal-insulator transition in thin-film NdNiO exhibits negligible out-of-plane hysteresis compared to in-plane resistance, a discrepancy attributed to anisotropic percolation of nanoscale domains that establishes these techniques as sensitive probes for quantum material phase transitions and potential thermal control applications.
This paper introduces an electrostatic force microscopy (EFM) platform that enables real-space, non-contact imaging of traveling surface acoustic waves with sub-200 nm resolution across a broad GHz bandwidth, thereby closing the design-validation loop for characterizing and tuning complex acoustic metamaterials like honeycomb lattices and Dirac cones.
This paper proposes a novel spintronic-magneto-impedictive effect in antiferromagnetic materials modeled by a spin-Rice-Mele Hamiltonian under a magnetic field gradient, offering a theoretical foundation for low-power, pure spin-current memory devices that operate without net charge transport.
This paper proposes a new paradigm for material design that leverages intrinsic quantum measurement to drive unitary-projective electron dynamics, thereby enabling novel functionalities such as nonreciprocal transport, new forms of magnetism, and energy conversion efficiencies exceeding the Carnot limit.
This study employs an interpretable small-data machine learning framework to optimize pulsed laser deposition of -Ga2O3 on sapphire, achieving record-breaking crystallinity while revealing that temperature and oxygen pressure independently govern bulk crystallinity and surface morphology, respectively.