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 distinct mechanisms driving terahertz harmonic generation across the Mott insulator-metal transition in rare-earth nickelates, revealing that strong spin-charge couplings, renormalized quasi-particle currents, and Mott gap-induced carrier density reduction dominate in the antiferromagnetic insulating, paramagnetic metallic, and paramagnetic insulating phases, respectively.
By combining atomic force microscopy with first-principles calculations, this study reveals that subsurface defects in partially reduced CeO(111) break symmetry to dictate the asymmetric orientation of adsorbed water molecules, thereby identifying specific Ce sites as thermodynamically favored centers for catalytic reactivity.
This paper demonstrates that Large Language Model agents, equipped with limited probing tools and guided by trial-and-error persistence rather than explicit instructions, can autonomously discover and verify generalizable knowledge about complex systems, ranging from simple parlor games to advanced Atomic Layer Processing reactor simulations.
This study utilizes a tight-binding model to demonstrate that stacking graphene nanoribbons with graphene sheets creates unique heterostructures where spatial confinement and interlayer interactions can open a tunable band gap and modify electronic properties distinct from the individual components.
This study demonstrates that tritium-induced sp³ defects in monolayer graphene on a Si/SiO₂ substrate undergo nearly complete depletion over two years under standard laboratory conditions, a rate of recovery significantly exceeding that expected from tritium decay alone and distinct from the behavior of hydrogenated graphene.
The authors demonstrate that depositing an ultrathin titanium sacrificial layer on tantalum films acts as a solid-state oxygen getter to chemically reduce the native oxide interface, subsequently removed to yield tantalum coplanar waveguide resonators with internal quality factors exceeding 1.5 million, representing a threefold improvement over untreated devices.
This paper introduces a robust, data-efficient Multi-Objective Bayesian Optimization framework that enables self-optimizing Scanning Transmission Electron Microscopy by actively tuning aberration coefficients through physics-aware, user-defined reward functions and Pareto front analysis to overcome the limitations of traditional serial searches and rigid deep learning models.
This paper introduces C2NP, a comprehensive benchmark demonstrating that current state-of-the-art generative models for materials fail to generalize across scale transitions between infinite crystals and finite nanoparticles due to a reliance on template memorization rather than scalable physical understanding.
This paper presents a practical, hardware-free navigation strategy for locating sub-micron 2D devices in scanning tunneling microscopy by utilizing etched geometric guiding patterns on the substrate, enabling reliable atomic-resolution imaging and spectroscopy without optical or capacitive assistance.
This study utilizes in-situ Lorentz transmission electron microscopy to map the zero-field metastable magnetic phase diagram of (Fe0.5Co0.5)5GeTe2 by field-cooling the material, thereby establishing a critical foundation for selecting and manipulating specific topologically protected spin states under ambient conditions.