3992 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 identifies a "double measurement confound" in LLM agent benchmarks where fixed scaffolds and flawed scorers obscure true model capability, and proposes a measurement-theoretic framework with an audit-and-repair protocol to transfer execution control to models, implement ground-truth scoring, and report reliability metrics beyond the mean.
This study establishes a comprehensive computational and experimental framework demonstrating that introducing an Ag interlayer in Al/Cu resistance spot welding suppresses brittle Al-Cu intermetallic compounds in favor of ductile Al-Ag solid solutions, thereby significantly enhancing the joint's mechanical strength and providing a predictive model for rational interlayer selection.
By combining advanced theoretical methods, this study reveals that anti-site hydrogen defects in lutetium hydrides are responsible for the experimentally observed flat bands and low-energy optical features, while establishing that hydrogen orbital filling, rather than interaction magnitude, is the fundamental principle governing the material's weak correlation strength and electronic behavior.
Using density functional theory and Landau free-energy expansion, this study systematically investigates the phase stability and pressure-dependent elastic properties of four GeO2 polymorphs up to 120 GPa, revealing a Landau-type second-order rutile-to-CaCl2 transition at 14.6 GPa characterized by significant elastic softening and a peak in wave anisotropy, followed by distinct anisotropy behaviors in the higher-pressure alpha-PbO2 and pyrite phases.
This study demonstrates that off-resonant, elliptically polarized THz pulses can induce ultrafast time-reversal symmetry breaking and a transient reduction to tetragonal magnetic symmetry in nonmagnetic cubic SrTiO3, as evidenced by emergent second-harmonic generation circular dichroism scaling with the pulse's angular momentum.
This paper establishes a general framework for identifying twist and strain configurations in moiré heterostructures by analyzing moiré images, demonstrating that while wavelength data alone yields multiple possibilities, incorporating constraints like minimum elastic energy and electronic spectra allows for the determination of the most likely physical configuration.
This paper introduces SpinGraph, an automated workflow that leverages spin space groups and graph theory to generate symmetry-distinct magnetic configurations and integrates with AMATIS to enable the fully automated construction of spin Hamiltonians for studying magnetic properties.
This first-principles study characterizes the structural, mechanical, vibrational, thermal, electronic, and optical properties of the topological Dirac semimetal Na3Bi, revealing its stability, semimetallic nature with Dirac points, and potential for applications in acoustic damping, UV sensing, and optoelectronics.
This study demonstrates that mechanically exfoliating molecular crystals like tetracene into atomically thin layers preserves their crystalline order, enabling systematic control over excitonic properties such as Davydov splitting and Stokes shift through thickness-dependent modifications in molecular packing, intermolecular coupling, and dielectric screening.
This study demonstrates that machine-learned simulations reveal halide ordering as a critical factor governing structural phase transitions and miscibility gaps in mixed-halide perovskites, where such ordering significantly shifts transition temperatures and explains non-linear composition dependencies that are mitigated by Rb substitution.