3484 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.
Using finite-temperature density functional theory, this study demonstrates that electronic entropy is a primary driver of solid-solid phase transitions among seventeen elemental metals, revealing systematic trends in structural stability under strong electronic excitation.
This paper presents a unified anisotropic Lagrangian formulation for dynamic stress response kernels of dislocations and cracks using the Stroh formalism, deriving their space-time and Fourier representations in terms of the prelogarithmic Lagrangian factor and its derivative to enable causality-compliant numerical simulations across all motion regimes.
This study utilizes X-ray photoelectron spectroscopy to non-destructively evaluate 17 metal capping layers for their ability to prevent niobium oxidation and surface contamination during fabrication processes, ultimately identifying resilient candidates that improve the performance of superconducting resonators.
This study investigates the corrosion mechanisms of T91 steel in static lead-bismuth eutectic under high-temperature oxidizing conditions, revealing that grain boundary attack driven by chromium and oxygen diffusion can be mitigated by a stable oxide scale, while unexpectedly forming a unique iron-enriched body-centered cubic surface layer.
This study presents a comprehensive, data-driven framework that integrates machine learning, a novel SISSO-derived tolerance factor, and sustainability metrics to screen and rank stable, experimentally feasible chalcogenide perovskites for next-generation solar energy applications.
This paper proposes a constructive, observation-centered framework for quantum mechanics that prioritizes signal analysis over traditional wave functions to address the mismatch between infinite-dimensional formalism and finite computational accuracy, ultimately aiming to provide rigorous effective descriptions for complex quantum systems.
This review examines the application of generative AI to the inverse design of inorganic compounds, analyzing how data-representation-model pipelines address unique challenges like symmetry and electronic structure across diverse systems while outlining future directions for benchmarking and synthesizability.
This study reveals that wavelength-dependent photo-creep in halide perovskite single crystals arises from a competition between ion migration, which promotes creep, and carrier trapping, which suppresses it, leading to distinct mechanical responses under different illumination conditions that challenge conventional semiconductor photo-plasticity models.
This study combines surface-enhanced Raman scattering (SERS) experiments and density functional theory (DFT) calculations to characterize selected-lanthanide-citrate complexes (Tb through Lu), revealing systematic trends in relative peak intensities that are attributed to variations in lanthanide-oxygen interaction strength and local electronic distribution.
Using time- and angle-resolved photoemission spectroscopy (TR-ARPES) to independently track exciton and carrier populations in bulk ReSe, this study identifies exciton photoionization as the dominant microscopic mechanism for exciton dissociation, establishing a population-resolved strategy for resolving conversion pathways in strongly excitonic materials.