2691 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.
The study demonstrates that the broad X-ray photoelectron spectra of silicon oxide interfaces result from a continuous statistical distribution of core-level binding energies across varying local structural motifs, which obscures distinct chemical fingerprints and challenges conventional spectral assignment methods.
This study utilizes polarized small-angle neutron scattering to experimentally confirm the presence of vortex-type spin correlations and flux-closure states in iron oxide multicore assemblies, offering a statistically robust method to characterize these magnetic microstructures in densely packed nanoparticle systems.
This study employs density functional theory to demonstrate that the novel lead-free double perovskites SnGeX ( = K, Rb; X = Cl, Br, I) possess robust thermodynamic stability, tunable direct bandgaps suitable for diverse optoelectronic applications, and exceptional thermoelectric performance, with KSnGeI achieving a high figure of merit (ZT = 2.4) at 1000 K.
This paper demonstrates that symmetry reduction at surfaces and in thin films fundamentally reshapes altermagnetic spin textures, potentially converting non--wave altermagnets into functional -wave spin splitters or conventional antiferromagnets depending on the specific surface orientation.
This paper introduces two computationally efficient methods—a generalized acoustic deformation potential model and a machine-learning interpolation technique—that utilize a small number of first-principles electron-phonon matrix elements to accurately predict thermoelectric transport properties in semiconductors, with the machine-learning approach demonstrating superior accuracy and ease of implementation.
This study demonstrates the controllable synthesis of phase-pure - and -phase MnSe nanostructures via chemical vapor deposition, characterizing their structural, optical, and magnetic properties to establish MnSe as a tunable platform for 2D spintronic and optoelectronic applications.
This paper establishes a comprehensive classification of non-relativistic spin splitting in coplanar and non-coplanar magnetic structures by tabulating 1,249 spin point groups and identifying previously overlooked high-order splitting types (l=5, 7, and 9), exemplified by the material LaMnAu5.
This paper introduces a comprehensive micromagnetic framework for analyzing vector-like cluster magnetic multipoles, which is demonstrated through simulations of magnetic-octupole domain-wall dynamics in to reveal key features like profile deformation and effective inertial mass, thereby providing a unified approach for investigating mesoscopic dynamics in advanced functional magnetic materials.
This study resolves the misclassification of certain intercalated layered superconductors as anisotropic 3D systems by developing an extended 2D Tinkham model that accounts for interlayer misalignment, thereby enabling the accurate extraction of intrinsic bulk 2D superconducting properties and BKT transitions in materials like (Li,Fe)OHFeSe and (CTA)0.5SnSe2.
This study demonstrates an all-optical spin pumping method in a Ge-on-Si heterostructure that overcomes silicon's inherent limitations to achieve a record-high 9% spin polarization degree, thereby enabling the optical exploitation of silicon's spin-dependent properties for quantum and spintronic applications.