2692 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 presents two 19 GHz single-ended-to-balanced modified ladder-lattice filters realized with periodically polarized AlScN BAW resonators that eliminate the need for external baluns while achieving low insertion loss, high out-of-band rejection, and competitive performance for wireless communication applications.
This paper presents an enhanced version of the ComProScanner framework that integrates vision-language models to automatically extract composition-property data from scientific figures, achieving high accuracy and cost-effectiveness while establishing the first fully automated, multimodal pipeline for mining materials data from text, tables, and images.
This review highlights recent technological advancements in fabricating high-quality, lithographically defined multi-terminal electrical contacts on emerging single crystals, providing a practical guide to overcome challenges posed by their irregular geometries and structural characteristics for reliable transport measurements.
This paper presents a scalable, data-driven framework that screens a vast materials database to identify and classify 36 previously unreported altermagnets and 9 Luttinger-compensated ferrimagnets, establishing a high-throughput route for discovering unconventional antiferromagnets with promising spintronic applications.
This paper reports the successful synthesis of single-layered fluorographdiyne nanosheets up to 60×60 nm² on an Au(111) surface via a selective on-surface 2D covalent polymerization method that combines cobalt catalysis and coronene templating to overcome previous challenges in achieving large, defect-free domains.
This study utilizes a graphene-based field-effect transistor to demonstrate that growth-induced structural disorder and multi-domain kinetics critically govern the polarization switching behavior of CVD-grown 3R-stacked WSe2 bilayers, offering key insights for optimizing van der Waals ferroelectric devices.
This paper introduces TMCgen, a manifold diffusion model that efficiently and accurately generates the three-dimensional geometries of diverse transition metal complexes by focusing on key degrees of freedom such as coordination angles and ligand torsions.
This paper establishes a general theoretical framework demonstrating that molecular chirality in dimerized dipolar arrays induces tunable topological edge states with unique stereochemical labeling, offering a controllable platform for quasi-one-dimensional topological quantum matter.
This paper proposes a novel multimodal learning approach to model the interfaces of stacked bilayer 2D materials and predict their emergent properties, addressing a gap in AI-driven materials discovery by demonstrating superior effectiveness and efficiency compared to baseline methods.
This paper demonstrates that a hybrid machine learning approach, which embeds physically informed elemental descriptors into the Redlich-Kister framework, effectively overcomes the data limitations of traditional CALPHAD modeling to enable robust, zero-shot prediction of thermodynamic interaction parameters for unknown or data-scarce alloy systems.