2898 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 presents a perturbative second-order optical susceptibility calculation method for bulk materials using non-orthogonal pseudoatomic orbitals and symmetry-enforced Slater-Koster-like integrals in the velocity gauge, successfully validated on cubic silicon carbide and gallium arsenide.
This study reveals that in the layered ferrimagnetic semiconductor Mn3Si2Te6, the topological Hall effect originates from chiral orbital currents rather than spin textures, exhibiting size-dependent enhancement and a strong correlation with colossal magnetoresistance, thereby establishing orbital degrees of freedom as a new mechanism for engineering topological transport in 2D magnets.
This paper demonstrates that a perpendicularly magnetized thin film with a hexagonal array of holes can emulate the band structure of 2D materials like graphene and kagome lattices using a 9-band tight-binding model, thereby enabling the engineering of topological magnons, band gaps, and valley-Hall effects at experimentally accessible frequencies.
This paper reports a novel two-step self-selecting vapour growth method that successfully synthesizes large, high-quality, phase-pure RhSeCl Janus crystals up to 6 mm in size while identifying and mitigating a previously unreported impurity to enable reproducible production for spintronic and optoelectronic applications.
This paper presents an autonomous multi-agent AI ecosystem that integrates large language models and specialized tools to create a unified pipeline for high-throughput polymer discovery, achieving state-of-the-art accuracy in property prediction and generative design while demonstrating metacognitive self-optimization capabilities.
This paper demonstrates that an out-of-plane electric field can continuously tune the geometry and binding energy of interlayer excitons in a tetralayer heterostructure, thereby enabling direct control over the nature of excitonic many-body phase transitions, such as transforming Mott transitions from gradual to abrupt.
This paper presents an interpretable multimodal machine learning framework that integrates heterogeneous analytical data from SEM, Raman, gas adsorption, and electrical measurements to characterize carbon nanotube films, demonstrating that nonlinear models like XGBoost can accurately predict material properties while providing physically meaningful insights into the underlying structure-property relationships.
This topical review synthesizes recent advances in momentum- and frequency-resolved spectroscopies and first-principles many-body perturbation theory to map collective electronic excitations in solids, emphasizing new spectral band structure representations and the interplay between electronic structure and screening effects across various material systems.
This study combines experimental synthesis and theoretical modeling to demonstrate that NiFeAl Heusler alloy nanoparticles exhibit high Curie temperatures, significant magnetic anisotropy, and disorder-driven transport behavior, positioning them as promising candidates for diverse magnetic applications.
This study proposes and theoretically demonstrates a dissipation-free steady-state skin effect in quantum condensed matter by introducing parametric pumping to the edge states of a bosonic Chern insulator, resulting in a quadrature-anisotropic corner particle accumulation that bridges non-Hermitian spectral theory with practical quantum physical systems.