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 study demonstrates the robust in-situ operation of a 100-transistor amorphous thin-film semiconductor circuit under heavy-ion irradiation, successfully executing a "Hello World" output sequence at high particle fluxes and establishing a new milestone for radiation-tolerant digital electronics in extreme environments.
By combining ultracold-atom quantum simulations with dynamical vertex approximation calculations, this study reveals that spin-singlet entanglement emerges specifically at the onset of the pseudogap regime in the two-dimensional Fermi-Hubbard model, thereby challenging purely classical theories and constraining microscopic models to those incorporating nearest-neighbor quantum correlations.
Using spin-polarized low-energy electron microscopy, researchers mapped the vector magnetization of the FeO(110) surface to reveal a temperature-dependent reconfiguration of magnetic domains from bulk-aligned easy axes at room temperature to in-plane [100] and [001] directions below the Verwey transition, while confirming the magnetization remains strictly within the surface plane.
This paper theoretically demonstrates that circularly polarized femtosecond laser pulses can generate and distinctly control valley-polarized spin and orbital magnetism in two-dimensional semiconductors, revealing that orbital dynamics driven by direct electric field coupling are faster and more sensitive to dephasing than the gradually developing spin response mediated by spin-orbit coupling.
This study uses density functional theory to demonstrate that Si/SiGe heterostructures with 3–4 nm quantum wells, low Ge and Si concentrations (50 ppm), and sharp interfaces can simultaneously achieve valley splittings exceeding 500 eV and spin dephasing times over 15 s, thereby co-optimizing these critical parameters for semiconductor quantum devices.
This study employs classical molecular dynamics simulations to characterize the crystallisation kinetics of supercooled liquid palladium, revealing diffusion-limited growth and a homogeneous nucleation maximum near that aligns with time-resolved X-ray diffraction experiments and indicates that homogeneous nucleation governs the achievable supercooling in rapidly quenched Pd thin films.
This paper proposes and classifies odd-parity magnons in collinear antiferromagnets, demonstrating how breaking effective time-reversal symmetry via external stimuli can induce tunable band splitting and topological phase transitions with potential applications in ultrafast optically controlled spintronics.
By mapping the complete superconducting dome of electron-doped FeSe, this study reveals that the transition temperature scales robustly with residual resistivity across the entire doping range, indicating that the superconducting dome is primarily driven by disorder sensitivity rather than doping levels, distinguishing it from other unconventional superconductors.
This paper demonstrates that general-purpose large language models, when guided by an iterative prompt-and-response framework, can effectively and systematically generate targeted inorganic material compositions—such as Elpasolites—outperforming previous task-specific generative models without requiring fine-tuning.
Drawing from a May 2023 workshop, this paper calls for resource-aware research in the fields of Universe and Matter by outlining a portfolio of digital transformation measures designed to simultaneously advance scientific progress and mitigate climate change through reduced fossil fuel reliance.