4953 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 advanced simulations to reveal that Nb atoms in -TiAl alloys simultaneously enhance high-temperature strength by increasing Peierls stress and improve ductility by reducing stacking fault energies through the formation of specific antisite defects, thereby resolving the controversy over Nb's dual role.
This study evaluates the photocatalytic oxidation of methane and other pollutants using TiO under UV-C light, presenting a validated model that predicts low conversion efficiencies in ventilation-scale applications but confirms a net climate benefit when COe removal exceeds the energy and material costs of the system.
This paper reports the synthesis and characterization of the frustrated 3D antiferromagnet ZnCrGaO, which exhibits a dynamic correlated ground state with no long-range magnetic ordering or spin freezing down to 125 mK, providing compelling evidence for a spin-liquid state driven by unconventional low-energy excitations.
This study employs Molecular Dynamics simulations and Reverse Monte Carlo modeling to characterize the atomic structure of liquid bismuth at 573 K, revealing a local arrangement dominated by deformed triangles and squares that manifest as specific peaks in Pair Distribution and Plane Angle Distributions.
This paper introduces ChatMOSP, a chemistry-grounded mobile agent that translates natural language requests into validated multiscale simulations of working-state catalysts by dynamically mapping reaction conditions to morphology and activity models, retrieving necessary parameters from databases or literature, and successfully replicating complex experimental phenomena like temperature-induced morphological transitions and oscillatory reaction behaviors.
This study systematically evaluates the impact of chemical disorder modeling (VCA vs. SQS) and exchange-correlation functionals (PBE, PBESol, SCAN, SCAN+rVV10) on the structural and ferroelectric properties of Al-based III-V nitrides, revealing that the SQS approach combined with the SCAN functional provides the most reliable framework for predicting phase stability and identifying metastable states in these materials.
This study demonstrates that transition-metal doping and edge-state engineering in monolayer SnO can effectively tailor its electronic and magnetic properties, inducing localized magnetic moments and creating metallic edge channels that make it a promising candidate for spintronic and nanoelectronic applications.
This paper presents a framework that maps electrostatic energy minimization in mixed crystals to an Ising-type Hamiltonian to enable rapid pre-screening of substitutional configurations, demonstrating that while both simulated and quantum annealing accelerate the search, simulated annealing currently offers superior robustness and scalability for identifying low-energy structures across various system sizes.
This paper presents a hybrid ab-initio framework that combines AI-driven analysis with physics-informed constraints in a two-stage optimization process to robustly determine complex crystal structures from noisy powder X-ray diffraction data, overcoming the limitations of purely data-driven generative models.
This study employs hybrid density functional calculations to characterize the energetics, optical properties, and migration barriers of native defects and erbium impurities in CaWO, revealing that oxygen-related defects drive optical transitions while erbium's stability and emission quality depend on its charge state, complex formation, and the removal of interstitials through annealing.