4007 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 molecular dynamics study reveals that the mechanical integrity of nitrogen-doped graphene is governed not by nitrogen content alone, but by the specific defect configurations—particularly the presence of vacancies and their orientation relative to the load—which dictate whether the material fails abruptly or maintains its strength.
This study employs a 2-D phase-field model to demonstrate that strong reaction rate anisotropy is the dominant factor driving the formation of anisotropic TiO2 nanowire arrays during hydrogen-based nanocarving, while also providing a morphology map to guide grain orientation control.
This study utilizes machine learning potential-driven molecular dynamics to reveal that hydrogen release from MgH2 occurs via a novel subsurface mechanism and identifies Ni as the optimal dopant by establishing a quantitative volcano relationship between hydrogen release efficiency and the Miedema electron density of dopants.
This study demonstrates that incorporating physics-based strengthening coefficients derived from discrete dislocation dynamics simulations into phenomenological crystal plasticity models significantly enhances their predictive quality and parametrization efficiency without incurring additional costs.
This paper presents a compact, temperature-dependent dielectric function model for calcium fluoride that accurately describes its optical properties across a wide frequency and temperature range, enabling the calculation of temperature-dependent atom-surface interactions and revealing how the material's giant infrared absorption peak delays the onset of the fully retarded Casimir–Polder limit.
This study investigates the Inverted Vertical Bridgman growth of MnBi2Te4/(Bi2Te3)n crystals, elucidating how distinct growth stages and MnTe supersaturation govern the structural ordering of septuple layers and the resulting tunable transition between antiferromagnetic and ferromagnetic properties.
This paper presents a novel methodology for developing magnetic interatomic potentials for cubic antiferromagnets by integrating Heisenberg exchange and Néel models, successfully applying it to NiO to create validated potentials that enable large-scale molecular dynamics simulations of coupled magnetoelastic phenomena.
This paper presents an efficient, linear-scaling implementation of ab initio many-body quantum embedding and local correlation methods for infinite periodic systems using translational symmetry-adapted interpolative separable density fitting, enabling accurate thermodynamic limit estimates of coupled cluster ground-state energies for both weakly and strongly correlated solids.
This paper derives a general thermodynamic driving force for transformation fronts in deformable ferromagnets and adapts the cut-finite-element method to efficiently model the coupled magneto-mechanical kinetics of phase boundaries in materials like magnetic shape-memory alloys without requiring mesh modification.
This study employs phase-field simulations to reveal that asymmetric dendrite stripping in all-solid-state sodium batteries leaves behind kinetically stabilized, isolated sodium metal at grain boundaries, which acts as a catalyst for accelerated dendrite propagation during subsequent cycling.