4957 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 employs hybrid density functional calculations to characterize the energetics, optical properties, and migration barriers of native defects and erbium impurities in CaWO, revealing that oxygen-related defects drive optical transitions while erbium's stability and emission quality depend on its charge state, complex formation, and the removal of interstitials through annealing.
This study employs large-scale ab initio calculations to reveal that edge dislocations in face-centered cubic high-entropy alloys induce anomalous charge redistribution driven by collective electronegativity equalization and magneto-volume fluctuations, thereby establishing a critical coupling between electronic structure and local volumetric response that informs future solid-solution strengthening models and alloy design strategies.
This paper establishes a microscopic framework demonstrating that orbital anisotropy in interwoven dual-orbital 2D square lattices generates g-wave altermagnetism, identifying M-TCNX metal-organic framework monolayers as promising candidate materials.
This study employs density functional theory to systematically investigate nine multi-transition-metal NASICON cathodes for sodium-ion batteries, revealing that mixed-metal frameworks enhance sodium ion mobility and phase stability, ultimately identifying NaMnFeCr(PO) as a promising high-performance candidate for experimental validation.
By combining experiments and first-principles modeling, this study demonstrates that tuning the copper content in earth-abundant Fe-Ni-Co-Cr-Cu high-entropy alloys effectively controls their Curie temperature and magnetocaloric performance, providing a quantitative design guideline for optimizing these materials for specific cooling applications.
This paper demonstrates that implementing the thermal Perdew-Burke-Ernzerhof (PBE) functional within Kohn-Sham density functional theory significantly improves the accuracy of warm dense matter simulations—matching path integral Monte Carlo reference data for energies, forces, pressures, and charge densities at negligible computational cost.
This study demonstrates that while Mn3NiN/LaAlO3/Mn3NiN antiferromagnetic tunnel junctions exhibit exceptionally large tunneling magnetoresistance exceeding 2000%, the specific magnitude of this effect is critically governed by band symmetry filtering and orbital-symmetry selection rules rather than spin polarization alone.
Using multislice electron ptychography, this study resolves the depth-dependent 3D atomic structure of a SrTiO3 grain boundary, revealing a hidden transition between symmetric and asymmetric configurations driven by local chemical variations and atomic displacements that fundamentally link structural inhomogeneity to functional properties.
This study presents a comprehensive experimental and computational analysis of diffusion in Ni-X binary and Ni-Al-X ternary systems, revealing that while main interdiffusion coefficients remain comparable to their binary counterparts, cross-diffusion effects significantly influence fluxes, and establishing a robust framework that combines first-principles calculations with physics-informed neural networks to accurately model composition-dependent diffusion across the full range.
This study utilizes element-specific XMCD measurements to reveal that while magnetic transitions in ferrimagnetic spinel high entropy oxides occur simultaneously across all cations, the growth rates of individual magnetic moments vary significantly based on crystal field fillings and competing exchange pathways, a disparity that can be mitigated by non-magnetic substitution to relieve magnetic frustration.