4797 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 demonstrates that waterfall-like spectral features in the kagome metal LuFe6Ge6 can arise from inelastic photoelectron scattering associated with a van Hove singularity, rather than from strong electronic correlations as traditionally assumed.
This paper demonstrates a reproducible approach to generating highly indistinguishable, telecom-band single photons from bilayer MoTe quantum emitters via deterministic strain and defect engineering, achieving state-of-the-art indistinguishability for TMDs with a Hong-Ou-Mandel visibility of up to 60% under post-selection.
OxiGen is a novel oxidation-state-aware crystal diffusion model that explicitly incorporates oxidation states and enforces global charge neutrality through a structured output layer, thereby significantly improving the generation of stable, unique, and experimentally realizable inorganic materials compared to existing methods.
This paper demonstrates a deterministic, ultrafast, all-optical method for writing and erasing magnetic skyrmions using a magneto-plasmonic metasurface that leverages the inverse Faraday effect to generate synchronized picosecond magnetic field pulses, thereby overcoming the stochastic limitations of thermal excitation for high-speed topological data storage.
This paper demonstrates that machine learning models, particularly those using conventional microstructure and texture statistics, can successfully infer magnesium alloy compositions and processing parameters from their resulting optimized microstructures, effectively reversing the traditional alloy development process.
This study evaluates a data-driven regression ensemble for predicting atomic-oxygen erosion yields in polymers using bulk physical properties, demonstrating moderate success on historical MISSE-2 data and limited discrimination on new polymers due to narrow target ranges, while highlighting the need for reconciled measurement records to validate ground-based screening models.
Using Green's-function theory and atomistic spin-dynamics simulations, this study demonstrates that while exchange interactions in two-sublattice ferrimagnets decrease monotonically with temperature, their unequal thermal renormalization leads to a strongly nonmonotonic, polarization-dependent spin-wave stiffness, particularly near the angular momentum compensation region.
This paper demonstrates that crystallization-enabled in situ proton management, specifically using HNO3-mediated synthesis, can programmably regulate the electronic states of conductive metal-organic frameworks like Co9HHTP4 to achieve nearly four orders of magnitude higher conductivity by increasing carrier concentration without altering the fundamental framework architecture.
This study resolves the discrepancy between experimental and theoretical Raman spectra of altermagnetic -MnTe by demonstrating that long-range dipole-dipole interactions are essential for accurately predicting phonon band structures and identifying the origins of debated peaks, including weak Raman-active modes and higher-order scattering processes.
This paper establishes a comprehensive macroscopic framework for bismuth-substituted iron garnets that reveals a fundamental spectral crossover between magnetodipole and electrodipole contributions in the mid-infrared to near-infrared range, demonstrating that magnetodipole effects dominate the terahertz gap and exclusively drive the s-polarized transverse Kerr effect, thereby invalidating the assumption that magnetic contributions vanish at infrared frequencies.