2692 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 resolves discrepancies between continuum and ab initio models of moiré excitons by employing an atomistic Bethe-Salpeter equation framework to demonstrate that hBN encapsulation critically influences the competition between Wannier and charge-transfer characters, thereby determining the nature of the lowest-energy bright excitons in WS/WSe heterobilayers and twisted WSe homobilayers.
This study reveals that Li substitution in NaNbO3 enables a thermally driven geometric reconfiguration between coexisting polar states, which enhances the Curie temperature and induces piezoelectric hardening, establishing a general design principle for engineering ferroic properties via lattice geometry.
This paper demonstrates that the thermodynamic stability, defect energetics, and elemental mixing of inorganic solids can be unified under a simple geometric framework where a seven-faceted polyhedron in high-dimensional composition space accurately captures the behavior of diverse materials families without requiring retraining or structural input.
This study demonstrates that applying homogeneous in-plane tensile strain to MoS₂ bilayers induces a Poisson-driven contraction of the interlayer spacing, which significantly strengthens van der Waals interactions and enables the fine-tuning of terahertz interlayer breathing modes with exceptionally high Gruneisen parameters.
This paper predicts that magnetic topological materials, particularly magnetic Weyl semimetals like CoSnS, can achieve strong, broadband, and magnetic-field-free nonreciprocal thermal radiation in the infrared regime, establishing a predictive framework and quantitative design rules for next-generation thermal devices.
Through large-scale atomistic simulations, this study reveals that precipitation strengthening is not merely a result of individual dislocations cutting through or bowing around precipitates, but rather an emergent collective phenomenon driven by complex, concurrent multi-dislocation interactions that accumulate, store, and multiply across the material's microstructure.
This paper presents a reader-friendly, nonlinear continuum theory for the flow of charged particles in elastic solids under large deformations and strong fields, derived from a three-continuum mixture model to describe the behavior of soft solid electrolytes and elastic semiconductors.
This paper presents a coarse-grained electrodynamic model demonstrating that optimizing the thickness of a carbon-based anchoring layer on helical carbon coil arrays significantly enhances microwave absorption in the 2–18 GHz range by improving impedance matching.
This paper introduces SkeleGen, a symmetry-constrained generative model that expands the discovery of flat-band materials beyond traditional geometric prototypes by generating and validating over 9,000 stable crystal candidates featuring novel, out-of-distribution sublattice motifs.
This paper introduces a unified, nonempirical dielectric-dependent hybrid functional that leverages intrinsic dielectric screening as a geometry-independent control parameter to accurately predict fundamental band gaps across diverse material dimensions with near-GW accuracy at a significantly lower computational cost.