3525 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 reveals a sublattice dichotomy in the tunneling spectra of high-quality monolayer FeSe grown on SrTiO, where distinct coherence peak asymmetries between Fe sublattices are attributed to an unconventional -pairing mechanism between and states.
This study numerically demonstrates that while polydispersity significantly alters contact forces, local coordination, and jamming density in soft particle packings, the critical scaling of mechanical properties and the vibrational density of states remain governed solely by the distance to the jamming transition, regardless of the particle size distribution.
Through comprehensive measurements of electrical resistivity and magnetic moments in magnetite single crystals up to 1000 K, the study reveals a significant correlation between the Verwey transition temperature and characteristic magnetic temperatures, suggesting that the transition mechanism and electrical transport are intrinsically linked to the material's magnetic properties.
This report presents collaborative recommendations from a diverse group of experts to improve reproducibility and replicability in condensed matter physics by outlining best practices and policies across all stages of the scientific process.
This paper presents an enhanced genetic algorithm for crystal structure prediction that integrates a universal neural network potential with diversity-preserving mechanisms, such as niching and aging, to efficiently explore multicomponent composition spaces and accurately reproduce phase diagrams with fewer computational trials than existing methods.
This paper demonstrates that a machine learning model based on Gaussian process regression with a Wasserstein Weisfeiler-Lehman graph kernel significantly improves the accuracy and efficiency of predicting transition state energies and turnover frequencies for the reverse water-gas shift reaction on single-atom alloys compared to traditional scaling relations, thereby enabling robust high-throughput screening of new catalysts.
This paper establishes a unified framework for nonlinear and nonadiabatic transport phenomena by introducing a momentum-space nonadiabatic metric tensor derived from Bloch electron evolution, which generates geometric and geodesic velocity corrections and recasts wave packet dynamics as forced geodesic motion in curved momentum space.
This study demonstrates that strong uniaxial anisotropy in iron films enables an anomalous inverse orbital Hall effect, where orbital dynamics mediated by high orbital Hall conductivity facilitate efficient orbital-to-charge conversion in out-of-plane configurations, offering new avenues for controlling spin and orbital currents in orbitronics devices.
This paper introduces a new class of antiferroelectrics called type-II AFEs, characterized by opposite polarizations in momentum space across symmetry-decoupled subspaces, which intrinsically coexist with antiferromagnetism and exhibit unique magnetoelectric phenomena such as spin current generation and localized spin polarization.
This paper presents a unified theoretical framework demonstrating that the temperature-dependent electronic spectra and thermodynamic properties of magic-angle twisted bilayer graphene arise from the cooperative interplay between electron correlations and external symmetry-breaking effects induced by strain and lattice relaxation.