4179 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.
DiffCrysGen is a unified, fully data-driven diffusion model that accelerates the end-to-end generation of stable, functional inorganic crystalline materials by two to three orders of magnitude compared to existing methods, successfully identifying novel rare earth-free magnetic candidates.
This paper proposes a generalized quantum geometric framework for the intrinsic nonlinear Hall effect that extends beyond the limitations of Bloch-vector parameter space, offering a compact and fundamental description of this response in many-body systems with disorder and interactions.
This paper demonstrates that the mechanical stiffness of an elastic material containing holes can be preserved through the strategic adjustment of a surrounding shell's thickness, a concept validated from continuum theory to atomistic scales and applicable to lightweight construction.
The paper introduces XCCP, a physics-guided contrastive learning framework leveraging Kolmogorov-Arnold Networks to efficiently and accurately identify crystal structures and space groups from XRD patterns, thereby enabling scalable, high-throughput materials discovery and autonomous laboratory integration.
This study identifies the microscopic origin of bright quantum emissions in silicon nitride by demonstrating, through hybrid density functional theory, that negatively charged NV centers in specific C configurations exhibit high Debye-Waller factors and linearly polarized zero-phonon lines at 2.46 eV and 1.80 eV, thereby enabling deterministic integrated quantum photonics.
To overcome data scarcity in developing soft high-dielectric elastomers, this paper presents a curated dataset of acrylate-based materials and a multimodal machine learning framework that leverages pretrained polymer representations to enable accurate few-shot prediction of dielectric and mechanical properties.
This paper proposes a lightweight, isothermal phase-field surrogate model implemented in FEniCSx that captures the ductile-to-brittle transition in body-centred cubic systems by phenomenologically coupling temperature-dependent stiffness degradation, yield stress, and fracture toughness to simulate the shift from brittle to ductile behavior across the 77–293 K range.
This study utilizes ultrafast optical spectroscopy to directly observe and characterize the sub-picosecond formation, trapping, and coherent interconversion dynamics between free and defect-bound excitons in alkali metal halide-assisted CVD-grown monolayer WS with high defect densities.
This study establishes that asymmetric energy landscapes in glasses drive large macroscopic diffusion activation energies through dominant back-and-forth correlated atomic motions, rather than high local rearrangement barriers, providing a quantitative framework that links atomic-scale dynamics to macroscopic transport across various disordered materials.
This study employs an atomistic-scale investigation of Sb2Te to establish a "shorter is better" design strategy for all-optical waveguide devices, achieving a record-breaking 7-bit programming precision by simultaneously enhancing the optical programming window and reducing loss.