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 study demonstrates that adsorbing enantiopure heterohelicene molecules onto a non-magnetic Cu(100) surface induces a localized spin-polarized state in the topmost copper layer through strong chemisorption-driven hybridization and Coulomb correlation, revealing a mechanism for generating magnetism at organic-inorganic interfaces without intrinsic magnetic components.
This paper demonstrates that correspondence theory, an alternative crystallographic approach utilizing metric tensors and symmetry groups, can be effectively employed to determine austenite/martensite compatibility and supercompatibility conditions in shape memory alloys, previously derived using continuum mechanics-based phenomenological theory.
This paper demonstrates that large language models like ChatGPT and DeepSeek can effectively assist in predicting the stability and degradation rates of perovskite solar cells by suggesting and justifying prediction methods through dialogue, even when physical models and environmental data are incomplete.
This paper presents a semi-analytical minimal framework using a parametrized hyperbolic Ansatz to efficiently model vortex nucleation and magnetization reversal in spherical magnetic nanoparticles, successfully deriving analytical estimates for critical nucleation parameters that extend Brown's classic results.
This paper establishes a comprehensive symmetry-based classification for predicting topological phonon emergent particles and chiral phonons, leverages this framework to screen over 25 million such modes in a materials database, and provides a dedicated online resource to facilitate the discovery of materials with surface chirality momentum locking and giant phonon magnetic moments.
This study demonstrates that a perforated bottom electrode enhances resistive switching in P3HT thin films by concentrating electric fields to facilitate metal filament formation, which serves as the fundamental mechanism for the observed switching behaviors.
This paper introduces PERLA, an autonomous, self-updating living database that leverages large language models and physics-aware validation to extract high-precision data from post-2021 perovskite photovoltaics literature, revealing critical evolutionary trends toward inverted architectures and formamidinium-rich compositions that were previously obscured by data stagnation.
This paper reports the first experimental realization of multi-material dielectric mirror coatings optimized via a multi-objective algorithm to minimize thermal noise and optical losses, successfully validating the design pipeline with a SiNx system while identifying manufacturing process improvements needed for the Ti:GeO2 system to fully achieve its theoretical potential.
This paper investigates the formation dynamics and optimization of various colour centres in silicon-on-insulator for quantum photonics, revealing coupled creation mechanisms, identifying optimal annealing and fabrication parameters, and discovering previously uncharacterized stable optical signals.
This study demonstrates that freestanding functional oxide membranes, such as SrTiO3 and BaTiO3, can be engineered into reproducible, geometry-tunable bistable states through mechanical instabilities, enabling reversible snapthrough transitions that manipulate their electromechanical properties for nonlinear nanoelectromechanical applications.