3466 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 proposes a numerically exact, system-size-independent diagrammatic quantum Monte Carlo method that unifies dynamic and static disorder to efficiently calculate transport properties, such as carrier mobility, in realistic disordered semiconductors within the thermodynamic limit.
This paper demonstrates that focused surface acoustic waves, generated via tailored interdigitated transducer designs, enable the exploration of the high-power nonlinear regime of magnon-phonon coupling and spin wave resonance, with experimental findings on symmetry tuning and power-dependent transmission validated by both analytical and micromagnetic simulations.
This study demonstrates that inserting an interlayer (Al, Cr, or Ta) in CoFeB/Pt trilayers suppresses the magnetic proximity effect-induced ferromagnetism in the Pt layer, thereby significantly reducing the total damping and highlighting the critical role of the proximity effect in spin transport parameter extraction.
This study demonstrates that incorporating high entropy alloys into bicontinuous nanoporous structures overcomes inherent macroscopic brittleness through strain hardening mechanisms like dislocation starvation and sluggish motion, resulting in materials with specific strengths 5 to 10 times higher than single-element counterparts and enhanced thermal resilience.
This study demonstrates that ferromagnetic [Co/Ni] and [Co/Pt] multilayers with perpendicular magnetic anisotropy can effectively generate spin-orbit torques comparable to platinum to drive magnetization dynamics in CoFeB layers, while also revealing a significant correlation between torque strength and the CoFeB layer thickness through inductive detection.
The paper introduces Diffusion-based Crystal Omni (DAO), a pretrain-finetune framework utilizing Siamese foundation models that significantly outperforms conventional methods in predicting crystal structures, achieving high accuracy on real-world superconductors while operating over 2,000 times faster than DFT-based approaches.
This study introduces a Fourier Neural Operator (FNO) based surrogate model that achieves resolution-invariant, rapid, and accurate prediction of multi-grain microstructural evolution, overcoming the computational limitations of traditional phase-field simulations and the generalization issues of existing machine learning approaches.
This study demonstrates that a specific europium-doped yttrium orthosilicate crystal exhibits minimal two-level system defects at sub-kelvin temperatures, as evidenced by heat capacity measurements and constant optical coherence, thereby confirming its suitability for high-performance quantum technologies.
This study demonstrates that hafnia-zirconia superlattices with 87.5% ZrO content achieve record-breaking remnant polarization and endurance while promoting sustainability through the substitution of hafnium with abundant zirconium.
This paper presents a unified statistical theory of heat conduction in nonuniform media by deriving a causal spatiotemporal kernel via the Zwanzig projection-operator formalism, which microscopically encodes memory, nonlocality, and heterogeneity to seamlessly bridge classical diffusion, hydrodynamic, and quasi-ballistic transport regimes while recovering conventional coefficients as coarse-grained limits.