2794 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 combines density-functional theory and the bond-valence model to demonstrate that oxygen vacancy migration barriers in rutile-type 3d transition-metal dioxides can be efficiently estimated by quantifying the covalent and ionic contributions to chemical bonding.
This paper introduces a self-consistent, non-empirical Hessian-level meta-generalized gradient approximation functional (-PBE) that utilizes full density second derivatives to distinguish between atomic and bonding limits, demonstrating accurate chemisorption and molecular properties while highlighting remaining challenges in predicting bulk lattice constants.
This perspective paper reviews recent theoretical, numerical, and experimental advances demonstrating that topological defects, traditionally used to explain crystalline properties, also provide a fundamental framework for understanding the mechanical response and complex dynamics of amorphous solids, while highlighting key open questions and future research directions.
This study employs fixed-node diffusion Monte Carlo calculations to demonstrate that anchoring calcium atoms on boron-doped graphene or inside carbon nanotubes stabilizes the system against hydride formation and enhances hydrogen adsorption energies into the viable storage window, while providing high-accuracy benchmarks for future material design.
This paper introduces a machine learning Hamiltonian (MLH) method that achieves linear-scaling computational cost and high accuracy for defect simulations in large supercells, overcoming the transferability limitations of traditional machine learning potentials by successfully predicting oxygen vacancy formation energies in amorphous SiO with deviations below 50 meV from density functional theory.
This study demonstrates that photo-assisted Pd-Nb2O5/C nanocomposites significantly enhance ethanol electro-oxidation kinetics and CO tolerance in alkaline media through synergistic metal-oxide interactions and light-induced electron-hole generation, resulting in reduced onset potentials, higher current densities, and improved stability compared to conventional Pd/C catalysts.
This study demonstrates that low-palladium electrocatalysts modified with Fe3O4 nano-octahedra and SnO2 nanorods significantly enhance ethanol oxidation activity and power density in alkaline direct ethanol fuel cells through a bifunctional mechanism and strong metal-oxide interactions, with the PdFe3O4/C ternary catalyst achieving the highest performance despite a 45% reduction in palladium content.
This paper introduces a quantitative method based on power-dependent photoluminescence and the Saha equation to accurately determine the free-carrier fraction in 2D Ruddlesden-Popper perovskites, offering a reliable tool for analyzing excited-state dynamics under realistic operating conditions while revealing spatial variations near grain boundaries.
This paper establishes a rigorous symmetry framework identifying 28 space groups that host exactly four double-Weyl fermions, proposes the chiral carbon allotrope THRLN-C as a material realization, and elucidates its strain-driven topological phase transitions into various exotic or trivial states.
This paper presents a revised and simplified implementation of the FMPM(k) approximate full mass matrix inverse method for Material Point Method simulations, which resolves compatibility conflicts with lumped-mass features and addresses stability and efficiency concerns at higher orders.