4119 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 demonstrates that in a kagome altermagnet, an emergent orbital chiral flux is essential to break a hidden symmetry and generate finite Berry curvature and anomalous Hall conductivity, establishing a purely orbital mechanism for topological altermagnetism even in the absence of spin-orbit coupling.
By subjecting few-layer CrSBr to magnetic fields up to 55 tesla, this study confirms the existence of distinct bulk and surface excitons through their differing magnetic field responses, specifically a reduced redshift and smaller diamagnetic shift observed in the lower-energy surface exciton resonance.
This paper proposes that mechanoluminescence in inorganic crystals arises from the combination of intrinsic static structural distortion and dynamic elastic distortion induced by mechanical loading, providing a unified explanation for diverse experimental observations such as differences in pressure versus shear sensitivity and the effects of UV irradiation timing.
This study employs density-functional theory to demonstrate that hydrogen solubility in cubic silicon carbide is significantly enhanced by silicon vacancies and carbon-rich amorphous structures compared to pristine crystals, providing critical insights for modeling hydrogen permeation in fusion reactor tritium barriers.
ReciNet is a novel architecture that integrates geometric GNNs with reciprocal space-based Fourier representations to effectively model both short- and long-range interactions, achieving state-of-the-art accuracy in predicting various crystalline properties across multiple benchmarks.
This paper demonstrates through nanometer-resolution experiments and theoretical modeling that static friction is not an intrinsic material property but an emergent phenomenon arising from the collective configurational evolution of surface asperities, which generates a friction overshoot as the system transitions toward a steady-state kinetic friction.
This paper identifies that SCAN and r2SCAN functionals struggle with non-compact covalent bonds due to biased electron localization descriptions and proposes the r2SCAN+V approach as a practical solution that significantly improves accuracy across challenging materials like graphene, Fe, Cr₂, and VO₂.
The paper introduces "Randium," a minimal two-dimensional lattice model that demonstrates how universal features of viscous liquid dynamics, such as time-temperature superposition and parabolic scaling, emerge from simple nearest-neighbor rearrangements without requiring elasticity-induced facilitation.
This paper proposes and simulates a scalable spin-qubit architecture in pristine graphene p-n junctions, where strain-induced nanobubbles create tunable double quantum dots that enable coherent spin manipulation via Rashba spin-orbit coupling and Zeeman fields, as evidenced by distinct avoided crossings and detuning-dependent Rabi oscillations.
This paper proposes a statistical mechanics framework modeling organic mixed conductors as a lattice gas in the grand canonical ensemble, successfully describing their unique charge carrier modulation, vapor–liquid-like phase transitions, and history-dependent metastability as alternatives to conventional semiconductor theories.