4044 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 study demonstrates that co-deposited organic semiconductor glass mixtures consistently exhibit high kinetic stability (ultrastability) and predictable anisotropic molecular packing, regardless of large differences in component glass transition temperatures, offering key insights for designing more durable and efficient organic electronic devices.
The paper introduces AGAPI-XRD, a hybrid framework that integrates generative AI, database pattern matching, and automated Rietveld refinement to enable end-to-end, accessible crystal structure determination from raw powder X-ray diffraction data with high accuracy across diverse mineral benchmarks.
This study demonstrates that scalable (100)-oriented -GaO wafers with large grown-in offcuts, produced via Edge-defined Film-fed Growth, enable fast molecular beam epitaxy growth rates and high-quality epilayers that yield Schottky barrier diodes with superior breakdown fields and low unintentional doping, thereby overcoming the historical growth rate limitations of this crystal orientation.
This paper numerically investigates how randomly introduced vacancies in a one-dimensional artificial Dirac comb potential affect the ground-state energy and boson distribution of a weakly interacting Bose gas, revealing an exponential energy decrease with increasing vacancy count and the emergence of localization features around defects.
This paper introduces the Hypothesis Evolution Protocol (HEP), a framework that equips large language model agents with explicit, auditable operations for hypothesis generation, testing, and belief revision, thereby enabling transparent and verifiable AI-driven scientific discovery.
This paper investigates terahertz field-driven second-order nonlinear transport phenomena in two-dimensional tellurene, demonstrating that gate-tunable dc currents arising from skew scattering, side jump, and Berry curvature dipole mechanisms scale quadratically with the electric field and are strongly enhanced at low temperatures and lower frequencies.
This paper presents a kinetic cellular model for simulating aqueous metal corrosion that utilizes generalized rate equations to bridge the gap between atomistic simulations and macroscopic scales, effectively reproducing established electrochemical behaviors like Nernst-Planck and Butler-Volmer dynamics while reducing to phase-field or cellular automata methods in specific limits.
This paper presents a machine learning approach that accelerates Density-Functional Tight-Binding (DFTB) simulations by predicting optimal initial atomic charges, thereby significantly improving the convergence of self-consistent charge calculations across diverse chemical systems.
This study demonstrates that epitaxially strained RuO2 films exhibit orientation-dependent superconductivity with a significantly enhanced critical field that violates the Pauli paramagnetic limit, likely due to strong spin-orbit scattering.
This study investigates the thermal and mechanical properties of the bulk ceramic MgCoNiCuZnO across its high-entropy to entropy-stabilized transition, revealing that while thermal conductivity remains constant, the linear coefficient of thermal expansion increases significantly and mechanical softening occurs.