4840 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 generalizes the Green's function theory of Lymar' and Rudoi to model magnetic excitations in the collinear spin-half antiferromagnet BiCuO using an anisotropic Heisenberg XYZ Hamiltonian, successfully calculating spin-wave dispersions, critical fields, and a Néel temperature of approximately 52 K that aligns with recent experimental data.
This study introduces a novel hybrid coarse-grained molecular dynamics framework that integrates long-range Buckingham potentials with Hertzian contact mechanics to demonstrate that explicitly modeling inter-particle friction and viscoelastic damping is critical for accurately simulating the structural evolution and mechanical strength of coarse-grained clay assemblies.
This paper presents a novel imaging technique combining time-reversal methodology with tilt-scan-averaged differential phase contrast scanning transmission electron microscopy to achieve direct, quantitative, and dynamic visualization of magnetic vortex structures, including their out-of-plane cores, within individual cobalt nanoparticles.
This paper proposes an active-learning-guided adaptive search-space refinement framework combined with multi-objective Bayesian optimization that significantly accelerates materials discovery by reducing the candidate space by half while preserving over 99% of the original hypervolume and improving early convergence.
This study utilizes a machine-learning molecular dynamics combined with first-principles polarizability calculations (MD-Raman) to reveal that the distinct Raman signatures of LLZO garnet electrolytes originate from the vibrational dynamics of the lithium sublattice, thereby establishing Raman spectroscopy as a microscopic probe for Li-ion transport rather than merely an empirical tool for phase identification.
This paper reviews the use of SCAPS-1D, a user-friendly 1D simulation tool, to optimize lead-free double perovskite solar cells by bridging the gap between theory and experiment, while highlighting its limitations regarding 3D effects and its heavy reliance on accurate input parameters.
This study demonstrates that arranging sulfur vacancies in a periodic pattern within monolayer MoS transforms localized defect states into a dispersive miniband, thereby enhancing charge transport by up to five orders of magnitude compared to random distributions and enabling high conductivity even in highly defective semiconductors.
This paper unifies three distinct microscopic approaches—adiabatic, perturbative, and Floquet—to derive the effective magnetic field of phonons, demonstrating their equivalence in the low-frequency limit and clarifying the contributions of spontaneous and induced phononic magnetization in materials like SrTiO.
This paper proposes a phase field model derived from a single energy functional that unifies crack propagation and dislocation dynamics in single crystals, demonstrating that while dislocation emission shields cracks energetically, true material toughening fundamentally requires the incorporation of dissipative mechanisms to resist dislocation motion.
This paper introduces an extended ghost-rotationally-invariant slave-boson (ghost-RISB) method that efficiently and accurately treats correlated electron-phonon systems by incorporating local phonon modes and dynamical self-energy effects, achieving DMFT-level accuracy at a fraction of the computational cost and revealing a Franck-Condon-like suppression of superconductivity in the strong-coupling bipolaronic regime.