2833 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 a perpendicularly magnetized thin film with a hexagonal array of holes can emulate the band structure of 2D materials like graphene and kagome lattices using a 9-band tight-binding model, thereby enabling the engineering of topological magnons, band gaps, and valley-Hall effects at experimentally accessible frequencies.
This paper reports a novel two-step self-selecting vapour growth method that successfully synthesizes large, high-quality, phase-pure RhSeCl Janus crystals up to 6 mm in size while identifying and mitigating a previously unreported impurity to enable reproducible production for spintronic and optoelectronic applications.
This paper proposes that surface phonon Hall viscosity, arising from the Nieh-Yan action in magnetic topological insulators, couples phonon dynamics to surface magnetization to induce chiral or nonreciprocal acoustic phonons, offering potential experimental signatures through thermal Hall effects and magnon-polarons.
This paper demonstrates that while singular flat bands generally exhibit localized Wannier-Stark states that preclude DC transport, a static electric field near band crossing points induces Landau-Zener tunneling driven by interband quantum geometry, specifically the maximal quantum distance and associated geometric phases, which delocalizes wavefunctions and enables nontrivial transport.
This paper investigates how the combination of external magnetic fields and torsional strain induces asymmetric pseudo-magnetic fields in type-I Weyl semimetals, utilizing renormalization group analysis to explore the resulting evolution of coupling parameters and the emergence of lattice instabilities driven by interactions between phonons and chiral Landau levels.
Using hierarchical equations of motion, this study demonstrates that alleviating geometric blockade in a triangular triple quantum dot system under low-temperature conditions significantly enhances heat current relative to electric current, thereby boosting thermopower and achieving a remarkably high thermoelectric figure of merit.
This paper establishes the quantum metric length as a fundamental length scale governing electronic transport across ballistic, diffusive, and localization regimes in disordered flat band materials, notably revealing a disorder-independent localization regime and a linear relationship between diffusion coefficients and the quantum metric.
This study proposes and theoretically demonstrates a dissipation-free steady-state skin effect in quantum condensed matter by introducing parametric pumping to the edge states of a bosonic Chern insulator, resulting in a quadrature-anisotropic corner particle accumulation that bridges non-Hermitian spectral theory with practical quantum physical systems.
This paper investigates the interaction-driven hydrodynamic instability of rotating Bose gases in the lowest Landau level within the low-density limit, demonstrating that the dynamics are governed by repulsively-bound few-body clusters whose signatures manifest as oscillating observables and a slow, power-law thermalization characteristic of quantum many-body scars.
This paper introduces an equivariant graph neural network approach that accurately predicts Hamiltonian matrices for large, non-periodic valence change memory systems containing thousands of atoms, thereby overcoming the computational and memory limitations of traditional density-functional theory to enable quantum transport simulations of large-scale devices.