2808 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 theoretically demonstrates that noise magnetometry, particularly through the analysis of charge fluctuations in itinerant altermagnets, provides a unique symmetry-sensitive tool to distinguish altermagnetism from antiferromagnetism and to identify the orbital character of the magnetic order.
Using conductive atomic force microscopy (C-AFM) under ambient conditions, this study characterizes the local electronic properties and chemical identities of individual atomic defects in molybdenum disulfide (MoS2), identifying them as various transition metal or oxygen substitutions.
Researchers have demonstrated silicon-integrated, electrically controlled circular Bragg grating resonators containing InGaAs quantum dots that provide high-purity, telecom O-band single-photon emission with record-breaking spectral tunability and robust operation at elevated temperatures.
This paper demonstrates a physics-informed deep image prior (DIP) framework that reconstructs complex in-plane magnetization patterns from scanning NV magnetometry data without requiring pre-trained datasets, showing that using optimally aligned spatial masks significantly improves reconstruction accuracy and signal-to-noise ratio.
This paper proposes a symmetric, unified compact model for MOSFETs that bridges the gap between drift-diffusion and ballistic transport regimes by self-consistently integrating current, charge, and quantum capacitance through a physically motivated high-field scattering framework.
This paper establishes a non-Bloch band theory framework to accurately calculate the continuum spectra and topological bulk-boundary correspondence of nonlinear eigenvalue problems, which are otherwise characterized by an extreme sensitivity to boundary conditions.
This paper investigates the use of transition metal dichalcogenide (TMD) nanosphere arrays as a versatile platform for structural colors, demonstrating that a wide range of hues can be achieved by tailoring nanoparticle size and spacing, while also exploring how excitonic transitions and lattice configurations can further enhance color tunability.
Researchers have demonstrated a scalable method for remotely reconfiguring spintronic neural networks by using broadcast radiofrequency signals to selectively program vortex-based magnetic tunnel junction weights, allowing the same hardware to switch between distinct tasks like digit classification and drone signature identification.
This paper demonstrates that the terahertz nonlinearity of graphene can be electrically tuned using low gating voltages, enabling an enhancement in third-harmonic generation efficiency by two orders of magnitude and providing a pathway for practical, high-frequency electronic signal processing devices.
This study reports the groundbreaking success of high-quality, large-area epitaxial growth of Fe3GaTe2 on Graphene/SiC templates via molecular beam epitaxy, yielding van der Waals heterostructures that exhibit robust perpendicular magnetic anisotropy and an elevated Curie temperature of 400 K, which is significantly above room temperature.