3437 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 provides a didactic overview and consistent classification of various charge, heat, and spin transport phenomena in metallic conductors, organizing them into collinear, transverse, and planar categories to clarify their complex coupled responses.
This paper proposes an iterative learning framework that combines evolutionary algorithms, atomic foundation models, and the stochastic self-consistent harmonic approximation to enable efficient and accurate crystal structure prediction for highly anharmonic materials by drastically reducing training data requirements while leveraging statistical averaging to mitigate potential errors.
This paper derives a universal acoustic sum rule analogous to the quantum Baldin sum rule, demonstrating that the integral of the extinction cross-section is fundamentally constrained by a scatterer's static effective mass and stiffness, thereby establishing a theoretical framework for optimizing the transmission loss bandwidth of passive metamaterials.
This study resolves the kinetic mechanism of semicoherent precipitate growth by demonstrating that lath morphology is governed by the coupling of diffusion-enabled dislocation network reorganization with nanoscale ledge sweeps, a finding validated through phase-field-crystal simulations and in situ transmission electron microscopy.
This paper proposes a strategy to design a room-temperature, two-dimensional organic half-metallic ferrimagnet with fully compensated magnetic moments and a singular flat band, achieved by combining Aza-3-Triangulene and 2-Triangulene molecules in a honeycomb lattice to enable robust spintronic applications.
This study presents the first direct measurements of ferropericlase thermal conductivity under lower-mantle conditions, revealing a significant reduction linked to the iron spin crossover that helps define a comprehensive lower-mantle conductivity profile and constrain geodynamic evolution.
This study employs correlative microstructural and compositional analysis to reveal that the weathering of a Nantan meteorite fragment produces a magnetite-rich matrix with distinct grain size variations linked to nickel content, alongside various iron-nickel oxides and carbonates formed through the aqueous alteration of kamacite and direct oxidation of Fe-Ni metal.
This study reveals that while the structural stability of 2D MoWS alloys is primarily composition-driven, their electronic and optical properties, including band-edge splitting, valley energetics, and optical selection rules, are critically governed by the specific microscopic arrangement of atoms across the full composition range.
This paper presents an all ultra-high-vacuum cluster tool that integrates molecular beam epitaxy growth with low-temperature optical spectroscopy to enable the in situ, high-resolution characterization of pristine, reactive 2D materials, thereby facilitating the optimization of scalable synthesis for advanced semiconductor applications.
This paper introduces an environment-dependent tight-binding framework that augments Slater-Koster hopping integrals with bond-screening functions, fitted to ab initio pseudo-atomic orbital Hamiltonians across multiple configurations to generate transferable, large-scale electronic structure models with ab initio precision.