4797 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 four domain-expert-reviewed JSON schemas for Atomic Layer Deposition and Etching, grounded in QUDT and developed using schema-miner, to standardize heterogeneous process data and enable machine-actionable literature extraction and structured publication.
This paper introduces MatPCR, a label-free benchmark that evaluates the physical consistency of multimodal models' reasoning in materials science by using programmatic oracles to verify adherence to physical laws like Bragg's law and thermodynamic stability, thereby addressing the limitations of current evaluation methods that rely on scarce human annotations.
This study experimentally demonstrates asymmetric two-dimensional critical behavior in a DMI-active hybrid perovskite, revealing distinct Ising-type and XY-type critical exponents below and above the magnetic transition temperature, respectively, a phenomenon attributed to symmetry-breaking Dzyaloshinskii-Moriya interactions.
This paper introduces a geometric filtering algorithm to systematically identify and classify diverse honeycomb lattice materials, including various 3D and distorted variants, while providing screening criteria for their exfoliability, magnetism, and electronic instabilities to facilitate the discovery of novel materials for experimental characterization.
This paper reports the discovery of a two-dimensional flat polar band in (BaTiO)/(BaXO) perovskite superlattices, which enables the formation of irreducible sub-nanometer squared ferroelectric domains with a record-high density exceeding 300 Tbit/cm for ultra-dense, low-power memory applications.
This study demonstrates that mechanically exfoliated single-crystalline MnPtGa membranes serve as a tunable platform for controlling competing magnetic orders, where intentional rippling suppresses a low-temperature spin density wave anomaly associated with a 140 K transition.
By combining Elastic Recoil Detection Analysis and Neutron Depth Profiling, this study provides direct experimental evidence of reversible ionic polarization at a buried solid-state battery interface, demonstrating that an applied bias induces a reversible redistribution of approximately 9.3% of lithium without net loss or permanent interphase formation.
This paper demonstrates that the spin splitting characteristic of altermagnets originates fundamentally from the anisotropic arrangement of magnetic orbitals and their ligands rather than crystal symmetry, showing that symmetry merely organizes or reverses pre-existing splitting while a fully compensated triclinic ferrimagnet exhibits this effect even in the absence of symmetry-related sublattices.
This paper presents a new self-consistent field theory augmented with electrostatic correlations to model polyelectrolyte brushes, predicting that ion correlations drive non-monotonic height changes and microphase separation through a competition between osmotic pressure and correlation-induced attraction, with results that align well with experimental data.
This study reveals that current pulses in 1T-TaS generate previously undetected metastable filamentary conduction channels that define the material's hidden metallic state, enabling electrical control over their formation and positioning for potential neuromorphic computing applications.