4820 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 first-principles study demonstrates that coherent excitation of the low-frequency 2.52 THz CDW amplitude mode A(18) in TaSeI is the most effective pathway to suppress the charge-density-wave gap and transiently restore a Weyl-semimetallic state by weakening Ta-chain tetramerization.
This study employs many-body GW and Bethe-Salpeter equation calculations to demonstrate that the excitonic properties of low-dimensional tellurium polymorphs and nanowires are critically governed by the interplay of dimensionality, crystal symmetry, and band-edge dispersion, revealing that strong electron-hole correlations can coexist with nontrivial topological phases while exhibiting distinct spatial localization and binding energies across different structural forms.
This paper analytically investigates magnetic friction in sliding rotor arrays by mapping their energy landscape into distinct chambers, thereby identifying dynamical regimes, deriving friction scaling laws for various gaps, and explaining peak dissipation through energy jumps at chamber boundaries.
This paper demonstrates the generation of broadband, coherent phononic frequency combs in CMOS-compatible ferroelectric hafnia-zirconia resonators using two distinct mechanisms, establishing a scalable, chip-scale solution for multi-clock generation and radiofrequency parallel processing that overcomes the power and synchronization limitations of traditional electronic systems.
This paper demonstrates that in geometrically frustrated two-dimensional lattices, the interplay between competing interactions and inherent structural disorder can induce glassy dynamics that mimic spin-liquid behavior, thereby complicating the experimental identification of genuine spin-liquid ground states.
This paper demonstrates that engineering patterned mesoscale interfaces with a square-triangular geometry stabilizes structural superlubricity under high loads by organizing load-bearing contacts into continuous lines, thereby mitigating pressure-induced coating failure and enhancing defect tolerance compared to simpler triangular-triangular patterns.
This study demonstrates that single-pulse mid-infrared excitation induces reversible precessional magnetization dynamics in cobalt-doped yttrium iron garnet by generating transient lattice strain, a mechanism confirmed through correlated magneto-optical microscopy and micromagnetic simulations.
This paper presents a compact phase-change memory device architecture that overcomes traditional trade-offs by combining an ultra-confined active switching volume with a non-insulating thin film to achieve high computational precision (approaching 6 bits), low conductance values, and energy-efficient writes using conventional materials.
First-principles calculations reveal that biaxial tensile strain effectively modulates the electronic structure and catalytic activity of the g-C₃N₄/GeS van der Waals heterostructure, optimizing its band alignment and reducing overpotentials to enable efficient photocatalytic water splitting.
The paper introduces PINN-Phase, a physics-informed neural network that efficiently simulates long-term curvature-driven multiphase-field evolution with high accuracy and structural admissibility across various unseen microstructures, significantly reducing computational costs compared to traditional methods.