3224 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 presents a machine-learning framework that utilizes structural, compositional, and electronic descriptors to accurately classify magnetic orders and predict magnetization in 2D materials, thereby enabling the efficient screening of candidates for spintronic applications and the identification of skyrmion-like features.
This study experimentally evaluates the probabilistic information flow and natural computational capabilities of a two-skyrmion system at room temperature using information thermodynamics, demonstrating its ability to perform nonlinear XOR operations and proposing an all-solid-state Maxwell's demon based on these findings.
This paper investigates a non-reciprocal Kitaev chain engineered via reservoirs, revealing a pairing-induced phase transition between a slow-relaxing non-reciprocal phase and a rapid-relaxing density wave phase, separated by an exceptional point where superconducting pairing fundamentally alters non-reciprocal dynamics.
This paper presents a unified theoretical framework for analyzing oblique dipole orientations in 2D materials and interfaces, demonstrating that near-field techniques like s-SNOM offer superior sensitivity to these angles compared to conventional reflectance, as validated by improved agreement with experimental data for monolayer WSe.
This paper demonstrates that perfect electromagnetic absorption in two-dimensional electron systems can be achieved by placing them above a metal reflector with an ultra-proximate distance, provided specific relationships between the filling factor and conductivity are met, enabling high absorbance even in low-mobility "dirty" systems without relying on conventional quarter-wavelength spacing or plasmonic resonances.
Motivated by recent optical measurements in twisted MoTe, this study numerically demonstrates that itinerant anyons can bind to localized electronic trions to form "anyonic molecules," a process that produces a measurable photoluminescence red-shift encoding both the anyon's fractional charge and its kinetic energy.
This study reveals that in MoSe/CrI and WSe/CrI van der Waals heterostructures, symmetry-forbidden linear spin polarization necessitates nonlinear intraband transport as the dominant mechanism for generating a tunable, purely field-like spin-orbit torque that exhibits strong material dependence and can be controlled via doping, twist angle, and electric fields.
This paper reports the observation of an electronic Pomeranchuk effect in twisted bilayer MoS, where heating induces a counterintuitive transition from a conducting Fermi-liquid state to a localized generalized Wigner crystal at fractional fillings due to isospin entropy stabilization.
This paper demonstrates that applying strain to a two-dimensional -wave superconductor coupled with a -wave altermagnet and Rashba spin-orbit coupling significantly broadens the parameter space for topological superconductivity, suggesting that symmetry-lowering strain is a viable route to realizing these phases in such heterostructures.
This paper introduces an energetically driven, hierarchical structure matching framework that combines rapid idealized screening with targeted machine-learned potential and molecular dynamics refinement to enable real-time, accurate atomistic modeling of gold nanoparticles during autonomous total X-ray scattering experiments.