4135 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 introduces the open-source Python package `pyzentropy` to implement recursive entropy in first-principles thermodynamics, successfully reproducing the anomalous Invar behavior and phase diagrams of by accurately capturing the contributions of high-probability magnetic configurations.
This study presents the first demonstration of three-dimensional visualization of dislocations in -GaO using synchrotron-radiation X-ray topo-tomography under Borrmann-effect conditions, enabling depth-resolved analysis of defect propagation in device structures.
This study demonstrates that epitaxial NiCo2O4 thin films exhibit an intrinsic, robust two-step ultrafast demagnetization behavior characterized by a picosecond demagnetization component and a subsequent recovery, establishing rare-earth-free oxide ferrimagnets as promising platforms for investigating mult-sublattice spin dynamics.
The paper introduces SWORD, a novel symmetry-aware and Wyckoff-based string representation that standardizes and uniquely identifies both ordered and disordered crystal structures, thereby enabling efficient deduplication, novelty assessment, and curation of large-scale materials databases like the ICSD.
This paper surveys the current state, capabilities, and challenges of data-driven materials informatics across nanoscale, mesoscale, and continuum length scales, emphasizing critical issues such as data quality, uncertainty, and cross-scale consistency while outlining the path toward reliable multiscale integration.
This study reveals that ferroelectric polarization in two-dimensional higher-order topological insulators TlS and SnS serves as a tunable mechanism to engineer and reversibly switch orbital Hall conductivity, thereby establishing a new pathway for controllable orbitronics through the coupling of ferroelectricity and band topology.
This study systematically evaluates the impact of dispersion corrections on ab initio simulations of Group-I and Group-II molten fluorides, revealing that while semi-empirical models significantly improve density predictions and are crucial for high-charge-density cations like BeF, their influence on diffusion coefficients is minimal when density is held constant.
This study introduces an uncertainty-aware deep learning framework using Mixture Density Networks to predict phase fractions in refractory multi-principal element alloys, identifies a minimal feature set for robust predictions, and employs an active learning strategy to guide the discovery of novel alloys with unseen elements.
This study provides the first atomic-scale evidence of spin-lattice locking in the 2D d-wave altermagnet RbV2Se2O by utilizing spin-polarized quasiparticle interference mapping to reveal a unified picture of quadruple spin-texture locking involving spin-lattice, spin-momentum, spin-scattering, and a newly identified spin-stripe locking mechanism driven by a spin-density-wave moiré pattern.
This study demonstrates that a plasmonic AuPd/TiO2 photocatalyst enables the selective oxidative coupling of methane and nitrous oxide into valuable C2 and C3 hydrocarbons under ambient conditions by utilizing visible light to lower C-C coupling barriers and suppress overoxidation.