4239 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 reports the successful demonstration of high-performance top-gated SrSnO MOSFETs featuring ultra-wide bandgap properties, high mobility, and excellent switching characteristics, establishing the material as a promising platform for next-generation power electronics.
This study utilizes advanced spectroscopy to demonstrate that long 48-carbon polyynes exhibit highly delocalized ground states with weakened Peierls distortions and rapid excited-state self-localization, revealing that their electronic properties have plateaued near the carbyne limit and are significantly influenced by chain topology.
This paper introduces a novel computational framework combining *ab initio* electronic-structure methods with machine learning to accurately predict the temperature-dependent optoelectronic properties of chemically disordered, anharmonic solid solutions, specifically demonstrating its efficacy on silver chalco-halide systems.
The paper introduces ActiveStructOpt, an active learning framework that integrates graph neural network surrogate models to efficiently and accurately determine atomic structures from diverse spectroscopic data, outperforming existing methods under equivalent computational budgets.
This paper demonstrates that engineering the composition of highly porous SnO2-graphene oxide nano-heterojunctions enables the tunable development of room-temperature selective chemical sensors for trace volatile organic compounds and high-performance visible-blind photodetectors.
The paper introduces Symmetr, a Python package designed to determine the symmetry-restricted forms of physical property tensors in crystals, with a specific focus on magnetic materials and support for both magnetic space groups and spin groups.
This paper analyzes the long-range van der Waals interactions between filamentary objects, revealing that multi-filament dispersion energies alternate between attractive and repulsive terms as the number of objects increases due to electronic screening and anti-screening effects, thereby indicating the necessity of non-perturbative calculations for accurate predictions.
This paper presents a highly stable, eco-friendly, and selective ozone sensor based on lead-free Cs2AgBiBr6 double perovskite, which operates at room temperature with low energy consumption and demonstrates superior performance through both experimental validation and first-principles calculations.
This study demonstrates that using step-terminated AlO substrates with high miscut angles effectively suppresses antiphase twin defects in epitaxial BiSe by guiding atomic step-edge nucleation, although this control diminishes as the film thickness increases due to overgrowth mechanisms.
This paper presents a comprehensive first-principles atomistic approach using density functional theory to predict the equilibrium morphology of hetero-integrated crystals, which is validated by the strong agreement between its predictions for GaP on Si and experimental Transmission Electron Microscopy observations.