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 paper proposes and theoretically validates a gate-tunable synthetic antiferromagnet based on a graphene/MnS/graphene heterostructure, where breaking structural symmetry induces dominant nonrelativistic spin splitting and giant magnetoresistance, offering a promising platform for efficient spintronic devices.
This study demonstrates that a first-order structural phase transition involving Ge-Ge dimerization is intrinsically coupled to and essential for stabilizing the long-range charge-density-wave order in the kagome metal FeGe.
This paper presents a unified machine learning framework that combines machine-learned interatomic potentials with neural classical density functional theory to enable efficient, first-principles multiscale modeling of liquid thermodynamics and phase behavior across homogeneous and inhomogeneous systems.
This study demonstrates that applying Laser-Enhanced Contact Optimization (LECO) to atmospheric copper fire-through metallization on phosphorus-doped p-PERC solar cells induces stable Cu3Si interfaces, significantly reducing series resistance and enabling a scalable, silver-free pathway for high-efficiency, cost-effective solar cells.
This study demonstrates that while belt speed during copper fire-through metallization initially affects the electrical performance of PERC solar cells, subsequent LECO treatment effectively neutralizes this impact, resulting in identical high-efficiency outcomes (20.8%) across different processing speeds.
This paper reports the synthesis and characterization of CrRhAs single crystals, revealing an antiferromagnetic transition at 150 K, a sign-changing Hall coefficient linked to Fermi surface topology, and a pronounced enhancement of the Hall effect below the transition temperature indicative of Fermi surface reconstruction or magnon scattering.
By combining in situ SEM-EBSD tensile testing with multifractal analysis, this study reveals that while neutron irradiation induces distinct dislocation channels in 304L stainless steel, both irradiated and non-irradiated specimens develop similar underlying hierarchical dislocation structures, demonstrating multifractal analysis as a powerful tool for quantifying the spatial complexity and correlation-driven organization of mesoscale deformation mechanisms.
Single crystals of the semimetallic LaNiSb were successfully grown and characterized, revealing metallic behavior, positive anisotropic magnetoresistance with twofold symmetry, and multiband electronic transport that makes it a promising candidate for studying structure-property correlations in topological semimetals.
This paper demonstrates that the pressure-induced spin crossover of iron in the Earth's lower mantle creates a distinctive decoupling between P- and S-wave velocities, providing a quantum-scale mechanism that reconciles global seismic observations with realistic mantle temperatures and compositions.
This paper proposes and demonstrates a paradigm shift from photon-based to electron-based characterization using autonomous, machine learning-driven scanning transmission electron microscopy (STEM) on random chemical libraries to overcome acquisition bottlenecks and achieve orders-of-magnitude greater efficiency in exploring high-dimensional materials composition and phase spaces.