2227 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 nonlinear magnon interactions, specifically pump-induced nondegenerate three-magnon splitting, dynamically generate double anticrossings by creating two distinct magnon populations that independently couple to the Kittel mode.
This paper presents a self-consistent multiscale ensemble Monte Carlo framework for monolayer MoS that integrates first-principles-validated scattering mechanisms with a channel model to accurately predict intrinsic transport properties, field-effect transistor characteristics, and gas sensing responses to various adsorbates.
This paper establishes that a $PT$-symmetric heterostructure of a topological insulator and a -wave altermagnet can generate a pure bulk spin photovoltaic effect—producing dc spin currents without charge currents—when the Néel vector lies in the $xy$-plane, a phenomenon controlled by light polarization and the system's topological phase.
This paper demonstrates that dual-gated electrostatic control in InAs/GaInSb/InAs trilayer quantum wells effectively suppresses parasitic bulk and edge conduction, thereby enabling robust and quantized helical edge channel transport across a wide electric-field range in III-V quantum spin Hall insulators.
Using Johnson-noise thermometry in a bilayer graphene-hexagonal boron nitride moiré superlattice, researchers demonstrate that the thermal conductance of various topological states is universally quantized in units determined solely by their Chern number, establishing thermal transport as a robust probe for moiré topological matter.
This paper establishes the complete group-theoretical classification of odd-parity spin splitting in collinear magnets, revealing previously unexplored high-order -, -, and -wave classes, and demonstrates their realization in specific materials alongside their distinct impacts on anomalous transport phenomena.
This paper presents a unified tight-binding model, parameterized by density-functional theory calculations, which reveals that intervening tetragonal layers in misfit layered compounds mediate significant interlayer spin-orbit coupling, thereby providing a microscopic mechanism for Ising protection of superconductivity and establishing these materials as a distinct class of three-dimensional systems with intrinsically coupled layers.
This paper demonstrates that magnetic fields can independently control the amplitude and direction of supercurrent rectification in SQUIDs containing multiband superconductors, revealing that time-reversal symmetry breaking produces distinct signatures enabling magnetic flux pumping while showing that antiphase pairing does not influence the rectification effect.
This paper demonstrates that a honeycomb plasmonic crystal with synthetic spin hosts symmetry-protected nodal lines around the K and K' points, which persist under weak symmetry breaking and can be gapped via Kekulé distortion, offering a practical platform for studying nodal structures in two-dimensional systems.
This paper presents a validated, physics-based equivalent circuit model for Magnetic Tunnel Junctions implemented in LTspice that accurately simulates key spintronic phenomena and enables efficient circuit-level analysis for applications ranging from neuromorphic computing to spintronic memory.