2764 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 theoretical study demonstrates that inter-band spin-orbit coupling, in conjunction with on-site Coulomb interactions, is a crucial mechanism enabling significant spin polarization exceeding 25% in chiral-induced spin selectivity, thereby addressing limitations of previous single-band models.
This paper derives a current formula within the Gorini-Kossakowski-Sudarshan-Lindblad (GKSL) master equation framework for non-interacting systems and establishes the specific conditions under which this formalism recovers the Landauer formula.
This study demonstrates that post-deposition annealing of Ni thin films on 128° Y-cut LiNbO3 substrates induces a temperature-dependent uniaxial magnetic anisotropy driven by magnetoelastic coupling from residual strain, whereas as-grown films remain isotropic with unconventional hysteresis behavior at low temperatures.
This paper demonstrates strong coupling between propagating spin wave modes and microwave photons in a superconducting resonator-magnetic thin film hybrid circuit, achieving coupling strengths that exceed damping rates and revealing nonreciprocal spin wave radiation to advance the integration of spin-wave magnonics with quantum information science.
This paper demonstrates that while linear response theory and stochastic spin dynamics yield equivalent specific absorption rates for uniaxial single-domain nanomagnets at small field amplitudes, linear response theory can significantly underestimate heating efficiency (by up to ~70%) in the blocked regime, with the deviation governed by the dimensionless product of frequency and Néel relaxation time.
This paper presents a reusable, electrochemically-cleanable metamaterial that enables simultaneous, ultrasensitive real-time SEIRA and SERS detection in flow, thereby advancing multimodal spectro-electrochemistry for studying interfacial dynamics and molecular transformations.
This paper proposes a Hermitian extension of Lorentz-symmetric Dirac theory involving a masslike anticommuting operator that generates symmetry-protected "hidden-ordered Dirac fermions" with renormalized Fermi velocities, outlines their behavior near quantum critical points, and suggests lattice models and experimental platforms for their verification.
This paper demonstrates that spatially modulated non-Hermitian parameters in Lorentz symmetric Dirac theories act as non-Hermitian gauge fields generating magnetic fluxes that induce localized zero-energy modes, a phenomenon numerically verified on graphene and proposed as a foundation for exploring non-Hermitian magnetic catalysis and topological phases.
This study demonstrates that a synthetic antiferromagnet (SAF) trilayer serves as an ideal platform for investigating magnon-phonon coupling within a surface acoustic wave cavity resonator, where field-dependent spectral linewidth modulation reveals a coupling strength of approximately 15.6 MHz and a cooperativity of 0.66.
This paper demonstrates the successful cross-platform autonomous tuning of Poor Man's Majorana zero modes in minimal Kitaev chains by employing a transfer learning approach that trains a convolutional neural network on theoretical models and refines it on experimental data to rapidly converge on optimal electrochemical potentials.