4179 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 develops and evaluates a geometric deep learning framework using graph neural networks to accurately predict thermo-mechanical responses in cold spray deposition, demonstrating that spatial graph-based aggregation significantly outperforms traditional and topological methods in modeling the process's highly non-linear behavior.
This study employs atomistic molecular dynamics simulations to reveal how water content nonmonotonically influences the glass transition temperature and mechanical properties of amorphous Polyamide 6,6 by initially restricting chain mobility at low concentrations and subsequently disrupting hydrogen bond networks at higher levels, thereby validating the temperature-humidity equivalence through density variations.
This study demonstrates that synergistic (Sb,Sn) doping not only stabilizes the otherwise inaccessible LnTi(Sb,Sn) kagome metal structure by optimizing electronic states but also enables precise tuning of magnetic ground states through Fermi level adjustment, offering a versatile pathway for developing tunable intermetallic materials.
This paper introduces a rigorous and computationally tractable Density Functional Theory (DFT++) framework that extends the cut-and-project method to directly solve the Schrödinger equation for quasicrystals, enabling the ab initio specification of their quantum states without relying on crystalline approximants.
This paper introduces a modified phase field model that overcomes the limitations of existing orientation-field approaches by incorporating non-local misorientation-dependent coefficients, thereby enabling the simulation of arbitrary grain boundary energy behaviors, including energy decreases with increasing misorientation and sharp cusps.
This paper reports the discovery of spatiotemporal magnonic vortex beams in ferromagnetic nanostrips that feature immobile phase dislocations, zigzag wave propagation, and spatially alternating transverse orbital angular momentum, distinguishing them from their photonic and acoustic counterparts.
Using machine-learning force field-based molecular dynamics simulations, this study decouples the structural and bonding effects in ScAlN to reveal that while remanent polarization is governed solely by the internal structural parameter, the coercive field is determined by a combination of structural changes and bond weakening, highlighting the necessity of dynamic simulations for understanding ferroelectric switching.
This study utilizes synchrotron radiation X-ray topography and reticulography to characterize the structural properties and defect distribution of bulk -GaO crystals grown via the oxide crystal growth from cold crucible method, revealing high crystalline quality near the seed, a twist-type lattice misorientation during diameter enlargement, and dominant -oriented screw dislocations with varying densities across the crystal.
This study utilizes cross-scale molecular dynamics simulations to reveal how disconnection pile-ups at twin boundaries in tungsten drive low-stress crack nucleation, thereby linking specific defect-level dynamics to macroscopic brittle fracture and offering pathways to lower the material's brittle-to-ductile transition temperature.
This study demonstrates that isotropic strain can continuously induce and enhance scalar spin chiral order in the high-temperature collinear ferrimagnet Mn4N by selectively suppressing specific Mn-N orbital bonds, thereby transforming the magnetic ground state from collinear to noncoplanar without relying on external fields or chemical doping.