2794 papers
Condensed matter physics and materials science form a dynamic partnership, exploring how the collective behavior of atoms gives rise to the unique properties of solids and liquids. This field bridges the gap between fundamental quantum mechanics and the practical engineering of everything from flexible electronics to superconductors, turning abstract theories into tangible innovations that shape our daily lives.
At Gist.Science, we process every new preprint in this category directly from arXiv to make these complex discoveries accessible to everyone. Our team generates both plain-language overviews and detailed technical summaries for each paper, ensuring that researchers, students, and curious minds alike can grasp the latest breakthroughs without getting lost in dense jargon.
Below are the latest papers in condensed matter and materials science, organized by their most recent publication dates.
This paper proposes and experimentally demonstrates a novel framework for creating stable, stationary acoustic spin meron lattices mediated by phase singularities in standing waves, establishing acoustic spin as a fundamental degree of freedom for engineering robust and programmable topological quasiparticles.
This paper presents a new analytical theory for flash temperature in sliding contacts that accounts for the multiscale roughness of real surfaces, demonstrating that classical models based on simplified heat source geometries fail to accurately predict temperature increases in such scenarios.
The RHINO-MAG paper presents a highly efficient, 325-parameter GRU-based model that outperforms physics-inspired alternatives in predicting transient magnetic fields for ferrite materials, securing first place in the MagNet Challenge 2025 performance category.
This study reveals that the anomalous superlinear temperature-dependent resistivity in BaNiP arises from the decay of enhanced residual scattering caused by local Ba rattling as the material undergoes a first-order tetragonal-to-orthorhombic structural phase transition, a mechanism confirmed by electron irradiation, Hall effect, NMR, and Raman scattering data.
This paper presents a symmetry-resolved classification framework for polarized small-angle neutron scattering patterns from magnetic vortex ensembles, demonstrating that their angular anisotropy organizes into four distinct regimes governed primarily by rotational symmetry and the statistical distribution of vortex axes rather than detailed core structures.
This paper introduces NLSTEM, a non-local denoising post-processing technique that significantly improves 4D-STEM pattern indexing rates by averaging similar diffraction patterns to enhance signal-to-noise ratios, particularly benefiting ion-damaged samples with curved lattices without requiring beam precession.
This study demonstrates the ability to drive antiferromagnetic NiO into a highly nonlinear regime using THz light and subsequently steer its dynamics out of this state with a 33-Tesla magnetic field, marking a significant step toward ultrafast resonant switching of antiferromagnetic order.
The paper presents a robust, fitting-free method based on identifying reflectance minima in spectroscopic measurements to accurately extract the in-plane dielectric permittivity of small-area van der Waals microcrystals, overcoming the limitations of conventional ellipsometry and near-field probes.
This study introduces the Northeast Materials Database (NEMAD), a comprehensive resource of 67,573 magnetic materials entries generated via Large Language Models, and demonstrates its utility in training machine learning models that achieve high accuracy in classifying magnetic types and predicting transition temperatures to accelerate the discovery of high-performance magnetic materials.
This paper proposes a minimal Hubbard model to explain the ferrimagnetic ground state of the metal-organic framework CrCl(pyz), demonstrating that delocalized electrons on pyrazine sites couple with localized chromium spins to yield a magnetic moment and exchange interactions consistent with experimental observations.