3212 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.
First-principles calculations reveal that four-phonon scattering dramatically suppresses the room-temperature thermal conductivity of monolayer beryllene by over 90% through the strong scattering of low-frequency flexural phonons, establishing it as a unique case of higher-order phonon-controlled thermal transport in two-dimensional materials.
This paper demonstrates that, contrary to previous claims, there is no magnon Klein paradox for reflectivity because assigning a wrong sign to the transmitted spin wave leads to unphysical results that violate energy conservation.
This paper demonstrates that valley-resolved high-harmonic generation driven by counter-rotating laser fields serves as a sensitive probe for detecting symmetry-breaking lattice corrections, such as trigonal warping, that lie beyond the emergent Dirac cone description of graphene, effectively using laser intensity as a collision energy to reveal ultraviolet granular physics.
This paper introduces a Z2 energy-resolved topological marker based on matrix homotopy and position-space descriptions to classify fragile topology in finite, disordered, and aperiodic systems, demonstrating its robustness and applicability in models like twisted bilayer graphene and photonic crystals.
This paper proposes a robust inversion methodology that extracts the nature and concentration of randomly distributed impurities in disordered mesoscopic devices by analyzing their energy-dependent conductance fingerprints, as demonstrated through simulations on graphene nanoribbons.
The paper introduces \texttt{peaks}, a Python package designed for the interactive visualization, hierarchical management, and efficient parallel processing of large-scale angle-resolved photoemission spectroscopy (ARPES) and related spectroscopic datasets.
By adapting topological quantum chemistry to layer groups and screening 8,872 entries from computational databases, this study significantly expands the library of two-dimensional topological materials, resulting in the creation of a comprehensive Topological 2D Materials Database (2D-TQCDB) and new open-source tools for analyzing non-magnetic monolayer and multilayer systems.
This study demonstrates that the anomalous gating effects in dual-gated bilayer graphene/BN heterostructures are controlled by the relative twist angle between the two BN encapsulation layers rather than graphene moiré superlattices, revealing a specific angular regime (15°–45°) where these phenomena act as an ON/OFF switch.
This paper introduces a tomography method that reconstructs the density matrix and quantum geometric tensor of electron states from quasiparticle interference maps around on-site impurities by disentangling orbital contributions via symmetry, enabling detailed band structure characterization in scanning tunneling microscopy using conventional, unpolarized tips.
This study demonstrates that current-induced spin-orbit torques can be used to electrically control the magnetization of dipolar-coupled nanomagnets and artificial spin ice by exploiting the non-monotonic angular dependence of switching thresholds relative to the current direction, offering a practical route for programmable manipulation relevant to neuromorphic computing.