4772 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 strain effects induced by the granular nature of metallic Schottky gates are responsible for reducing electron mobility and suppressing fractional quantum Hall states in high-mobility GaAs/AlGaAs 2DEGs, a finding supported by commensurability oscillation experiments and COMSOL simulations.
This paper establishes a comprehensive symmetry classification of 2D -symmetric antiferromagnets, demonstrating how a perpendicular electric field lifts degeneracy to drive three distinct classes of unconventional collinear magnetism with unique spin-dependent transport and optical responses, thereby enabling all-electrical control for spintronic applications.
This study combines stroboscopic optical scattering microscopy with finite-element simulations to reveal that the thermally driven propagation of insulator-metal phase boundaries in VO2 thin films is governed by local diffusive heat flow and latent heat inertia, establishing a framework for controlling phase-transition kinetics in photonics applications.
This paper presents an *ab initio* Boltzmann framework demonstrating that asymmetric electron-defect scattering in monolayer GeS generates a tunable extrinsic bulk photovoltaic effect, which can exceed intrinsic shift currents by over an order of magnitude and peaks at specific defect fractions that shift with temperature.
This paper introduces a zero-dimensional population-balance model that couples evaporation, chemical reactions, and crystallization to analyze two-step perovskite formation, offering a quantitative framework and a new vocabulary of "supply" and "rate limitations" to interpret crystallization kinetics and optimize solar-cell performance.
This paper introduces HEXRD and HEXRDGUI as a versatile, open-source toolkit for analyzing X-ray diffraction data in dynamic compression experiments, highlighting its ability to handle complex multi-detector configurations, calibrate instruments using various diffraction patterns, and integrate data from major high-energy facilities like the NIF and European XFEL with high precision.
This study demonstrates that depositing N-heterocyclic carbene (NHC) molecules onto exfoliated MoS induces efficient, thickness-dependent electron doping via interfacial charge transfer, as evidenced by significant Raman A phonon softening and a two-orders-of-magnitude increase in carrier density in mono- and bilayer flakes.
This study reveals that universal machine-learning interatomic potentials consistently exhibit larger force errors under compression than extension across diverse materials and deformation paths, a bias driven by structural displacements from training data distributions rather than solely by the magnitude of physical forces.
This paper establishes the first ideal two-dimensional monolayer kagome lattices using a novel van der Waals family (A₂T₃X₄), which hosts a tunable intrinsic flat band with exceptionally high electron density, offering a promising platform for realizing high-temperature emergent quantum phenomena like the fractional quantum anomalous Hall effect.
This paper presents a transferable W-Ta interatomic potential developed using the GRACE framework and automated entropy-maximized data generation, which successfully predicts alloy thermodynamics and defect behaviors while revealing how Ta segregation impedes shear-coupled grain boundary migration in tungsten.