2794 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 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 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.
This study demonstrates that oxygen and fluorine functionalization, combined with cryogenic temperatures, significantly lowers the sulfur sputtering energy threshold in MoS via the formation of volatile products, thereby widening the ion energy window for selective, damage-controlled chalcogen removal in transition metal dichalcogenide plasma processing.
This paper introduces a suite of convolutional neural network classifiers based on the ZeoNet representation that significantly outperform previous methods in distinguishing experimentally synthesized zeolites from computationally predicted hypothetical structures, thereby identifying a small subset of promising candidates for future synthesis.
This study characterizes phase changes in natural olivine from Mortlake, Australia, after high-temperature annealing up to 1500°C by correlating magnetization, X-ray spectroscopy, and a novel polarized infrared reflectance technique that assigns synthetic RGB colors to specific absorbance and reflectance bands.
This study reports the hydroflux synthesis and characterization of KCo(TeO) 2.5 HO, a novel zemannite-type cobalt antiferromagnet with a pseudo-honeycomb dimer structure that exhibits long-range magnetic order below 7.6 K driven by antiferromagnetic interactions through bridging tellurite groups.
This paper presents a generalized probabilistic reparameterization method that enables gradient-based Bayesian optimization for mixed-variable problems with non-equidistant discrete spaces, demonstrating its robustness and efficiency for real-world scientific applications and autonomous laboratories.