2818 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.
The paper proposes "FerBo," a novel superconducting qubit that achieves robustness against both relaxation and dephasing by hybridizing fermionic Andreev levels with a bosonic LC circuit mode while leveraging phase-space wavefunction delocalization similar to fluxonium.
This paper presents an all-dielectric silicon-integrated metasurface composed of Si/GeSn core/shell nanowire arrays that enables polarization-tuned Fano resonances in the short-wave infrared spectrum, facilitating efficient refractive index sensing with a detection limit of 10⁻².
This paper employs a time-dependent Newns-Anderson-Schmickler model with Keldysh Green's functions and semiclassical trajectories to demonstrate how adsorbate motion and solvent coupling non-adiabatically suppress electron transfer while facilitating energy dissipation into electron-hole pairs, ultimately deriving an analytical expression for the average energy transfer rate in the slow-motion limit.
This paper presents a non-phenomenological influence functional framework to model simultaneous fermionic and bosonic dissipation, revealing how electronic friction and solvent effects distinctly influence quantum vibrational relaxation and charge transfer dynamics in electrochemical systems.
Using time-domain terahertz emission spectroscopy, researchers observed a dynamic magneto-chiral instability in photoexcited tellurium, where an electric current parallel to a magnetic field amplifies electromagnetic waves, offering a promising mechanism for THz-wave amplification in chiral materials.
This paper constructs 3+1D and 2+1D Hamiltonian lattice models for Weyl fermions and Dirac cones that evade no-go theorems by utilizing exact, not-on-site chiral symmetries—specifically a Ginsparg-Wilson analog and an Onsager algebra—to protect gaplessness and generate global anomalies even in the absence of crystalline translations.
This paper identifies the topological phase diagrams of coupled Su-Schrieffer-Heeger wires, revealing that diagonally coupled systems support rich insulating phases with winding numbers up to the number of wires and flat bands, while perpendicularly coupled systems exhibit nontrivial topological phases only when an odd number of wires are involved, characterized by specific symmetry constraints and confined correlations.
This paper proposes a non-Hermitian tight-binding model with gain/loss and non-reciprocal hopping that emulates black-hole physics by mapping a 1D lattice interface to a Schwarzschild metric, enabling the theoretical calculation of Hawking radiation, temperature, entropy, and mass, along with a proposed experimental realization for detecting these elusive features.
This paper establishes a non-perturbative topological constraint on the current of sliding electron crystals in magnetic fields, showing that the current depends on the many-body Chern number and determining a counting rule for gapless phonon modes based on whether the net current vanishes.
This paper presents a robust convolutional neural network trained on realistic micromagnetic simulations that accurately and reliably estimates interfacial Dzyaloshinskii-Moriya interaction strength from magnetic bubble domain textures, offering a fast and quantitative alternative to inconsistent experimental methods.