2898 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 study utilizes high-pressure experiments on Zr-based metallic glasses to reveal that -relaxation is driven by reduced atomic mobility and enhanced disorder, while -relaxation promotes density-driven structural ordering and improved thermal stability, with the transition between these regimes occurring at a constant ratio independent of pressure.
This study reveals that Asian elephant whiskers utilize a functionally graded structure, transitioning from a stiff, porous root to a soft, dense tip, to optimize tactile sensing by encoding contact location into vibrotactile signals and enhancing dexterous manipulation.
This study demonstrates that intercalating crystalline water into the Kitaev-candidate compound NaCoTeO successfully expands its honeycomb lattice and tunes its magnetic ground state, confirming neutral-molecule insertion as a robust strategy for engineering quantum magnets.
This paper introduces a minimal real-time spin-orbital model to identify the microscopic mechanisms enabling transient magnetic order in photoexcited non-magnetic semiconductors, while also evaluating the applicability of phenomenological and first-principles methods for studying these dynamically induced broken-symmetry states.
This study reveals that electropolishing, despite producing visually smooth niobium surfaces, introduces microscopic sloped-step defects at grain boundaries that enhance magnetic fields and suppress the superheating limit, thereby compromising the performance of superconducting RF cavities and influencing the efficacy of subsequent impurity-based heat treatments.
This study presents a multiscale, experimentally anchored computational framework revealing that interlayer pores play a minimal role in water diffusion through hydrated Na-MMT at densities of 0.8–1.3 g/cm³, with transport primarily dominated by free pores and successfully capturing the material's anisotropic behavior.
This study reports the discovery of ambient-pressure superconductivity in bilayer nickelate films grown on LaAlO3 (001) substrates, which achieve the necessary state with nearly half the compressive strain (-1.2%) previously required on SrLaAlO4 (001), thereby offering a new platform to systematically investigate the superconducting phase diagram and ground state.
This study utilizes 3D FIB-SEM tomography to propose a "cascade" model for defect-driven electrochemical etching of porous GaN DBRs, revealing how etchant propagates through vertical nanopipes and horizontal pores and demonstrating that higher voltages promote continuous, kebab-like structures by altering dislocation etching probabilities.
This study demonstrates that high-pressure synthesis significantly extends the fluorine substitution range and enhances the superconducting performance of SmFeAsO1-xFx bulk samples, achieving a maximum critical temperature of 57 K and a critical current density of 10^4 A cm^-2 while establishing a dome-shaped phase diagram.
This paper demonstrates the first in situ implementation of electrical impedance tomography within tunable architected lattices to achieve real-time, full-field monitoring of damage evolution and fracture localization in 3D-printed multifunctional composites, establishing a scalable sensing modality for autonomous intelligent materials and digital twin applications.