2692 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 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.
Using machine-learning molecular dynamics, this study reveals that polarization switching in BaTiO3 transitions from a homogeneous to a domain-wall-mediated mechanism as supercell size increases, driven by size-dependent fluctuations that significantly raise the coercive field and depend critically on system geometry and stress-field orientation.
This study reports the synthesis and characterization of the quadruple perovskite Sr4NaRu3O12, which exhibits a rare near-room-temperature antiferromagnetic transition at approximately 265 K with collinear spin alignment along the hexagonal c-axis, alongside a semiconducting ground state confirmed by both experimental measurements and band structure calculations.
This paper presents the first platform at SACLA, Japan, that integrates a high-power optical laser, an X-ray free-electron laser probe, and a 10 T pulsed magnet to enable the study of magnetized high-energy-density matter under extreme conditions.
This study demonstrates that thick single-crystal lead-halide perovskites enable efficient, alignment-free, and ultra-broadband four-wave mixing across near- and mid-infrared wavelengths by leveraging their exceptionally large intrinsic third-order nonlinearity and relaxed phase-matching constraints at crystal surfaces.
This paper introduces kikuchipy, an open-source Python toolbox for analyzing electron backscatter diffraction (EBSD) patterns that supports Hough and dictionary indexing, orientation refinement, and validation, demonstrated through applications in stainless steel and aluminum alloy microstructure characterization.