3501 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 accelerates the discovery of ternary chiral inorganic crystals by combining machine learning interatomic potentials with random structure search to screen over 20 million candidates, ultimately identifying more than 260 stable materials with promising topological, nonlinear optical, and superconducting properties.
The paper introduces FEMION, a scalable quantum embedding framework that resolves the cost-accuracy dilemma in catalytic metal surface simulations by combining auxiliary-field quantum Monte Carlo with random phase approximation, successfully addressing key challenges in CO adsorption and H2 desorption on Cu(111) while extending the 10-electron-count rule to single-atom catalysis.
Using angle-resolved photoemission spectroscopy and first-principles calculations, researchers experimentally confirmed the existence of a dice-lattice flat band at the Fermi level in the layered electride YCl, establishing it as the first real material to host this theoretically predicted electronic structure formed by an interstitial anionic electron lattice.
This paper demonstrates that centrosymmetric antiferromagnets exhibiting time-reversal symmetry breaking can be effectively modeled as ferromagnets with a single magnetic site per unit cell by leveraging a specific spin-orbit interaction symmetry, thereby providing a unified framework to explain phenomena like the anomalous Hall effect and net orbital magnetism.
This paper presents a novel continuum Hartree+U approach that self-consistently incorporates both short-range Hubbard and long-range Coulomb interactions to successfully map the magnetic phase diagrams of twisted bilayer and trilayer graphene near the magic angle, bridging the gap between computationally expensive atomistic methods and simplified continuum models.
This study demonstrates that fine-tuning the pre-trained MACE-MPA-0 model with minimal data (as few as 300 points) achieves predictive accuracy for lithium diffusion in LiF comparable to a DeePMD model trained on over 40,000 data points, highlighting the efficiency of foundational ML force fields in battery research.
This study utilizes first-principles calculations to demonstrate that the non-van der Waals material CrSb can host dimension- and facet-dependent altermagnetic and ferromagnetic biferroics and triferroics across various polymorphic phases, offering a new framework for designing multifunctional spintronic devices through structural and surface engineering.
This paper reports the observation of gate-tunable Josephson diode effects in adjacent magic-angle twisted bilayer graphene junctions, demonstrating that microscopic inhomogeneities drive non-uniform supercurrent distributions that enable the efficient tuning and polarity reversal of nonreciprocal supercurrents.
This paper presents AI4CHEM, an accessible, web-based introductory course designed to equip synthetic chemistry students with no prior programming experience with essential data science and AI skills through chemistry-specific examples and hands-on projects.
This paper reports the successful realization and stable one- and two-dimensional transport of acoustic bimerons on chiral metastructures driven by spoof surface acoustic waves, demonstrating their topological robustness for future acoustic information processing and storage applications.