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 demonstrates that a small language model (Qwen3-4B) fine-tuned on VASP calculations and paired with a deterministic post-processor called VASPGuard (forming INCAR-SLM) outperforms larger general-purpose models, including GPT-5.4, in reliably generating physics-sensitive VASP INCAR files for local, high-throughput materials workflows.
Millisecond flash lamp annealing at a specific low-energy density (4.9 J cm⁻²) significantly reduces the resistivity of nitrogen-doped p-type Cu₂O thin films to 0.045 Ωcm by enhancing mobility, whereas higher energy densities degrade electrical conductivity despite widening the optical band gap.
This paper introduces the concept of completeness for two-dimensional second-gradient elastic continua and demonstrates that while classical and bi-pantographic fabrics are incomplete, a newly proposed tri-pantographic architecture successfully synthesizes a complete continuum with positive definite energy control over all second-gradient increments.
This study utilizes atomically resolved imaging and numerical modeling to demonstrate that in the itinerant skyrmion magnet GdRuGe, the alignment of Gd 4 spins directly dictates the multi- charge texture of Ru 4 orbitals, revealing a microscopic intertwining of spin and charge degrees of freedom across multiple magnetic phases.
This study demonstrates that reducing 1T-TaS to the monolayer limit significantly enhances charge-density-wave transitions and drives a correlated insulating state due to strengthened Coulomb interactions from reduced out-of-plane screening, while simultaneously suppressing the first-order hysteretic transition observed in thicker layers.
This paper demonstrates the first direct measurement of the transverse quantum-state purity of a programmable electrostatic spiral phase plate using mixed-state ptychography, revealing that the device produces a substantially mixed beam rather than a pure coherent wave, a finding that enables in situ calibration and suggests significant potential improvements in dose efficiency for advanced electron imaging techniques.
This first-principles study reveals that despite sharing identical crystal structures, monolayer FeGeTe and FeGaTe exhibit markedly different spin-orbit torques due to hole doping-induced changes in Fermi surface topology and spin polarization, which are elucidated through symmetry-adapted momentum-space decompositions and a phenomenological framework for self-torques.
This study demonstrates that epitaxial FeSb2 thin films host metallic polar surface states driven by topological polarization and strong electron correlations, evidenced by nonreciprocal transport emerging below a bulk orbital reconstruction temperature and tunable magnetic phases via electrostatic gating.
This study demonstrates that by decoupling ionic and electronic transport dynamics in size-tuned all-inorganic cesium lead bromide nanocrystals, the smallest nanocrystals (5.6 nm) exhibit superior charge transport and ion migration stability under strong quantum confinement when supported by tailored stoichiometry, challenging conventional beliefs about size-dependent optoelectronic performance.
This paper introduces ASE2SPRKKR, a unified Python framework that integrates the Spin-Polarized Relativistic Korringa-Kohn-Rostoker (SPR-KKR) method into the Atomic Simulation Environment (ASE) to streamline high-throughput calculations of disordered and relativistic materials while adhering to FAIR principles for enhanced accessibility and interoperability.