4763 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 demonstrates that high-temperature annealing in nitrogen versus air atmospheres distinctly controls the paramagnetic defect populations and temperature-dependent electronic properties of ZnO microparticles, as revealed by temperature-dependent electron paramagnetic resonance spectroscopy.
This study employs first-principles calculations and continuum heat-conduction models to systematically characterize the electronic structures, thermal transport mechanisms, and laser-induced heating responses of various ultrahigh-temperature carbides, revealing distinct differences between metallic transition-metal carbides and semiconducting SiC that are critical for predicting their thermal performance under laser irradiation.
This study employs grand-canonical first-principles calculations to map the stability of silicon and silicon carbide vacancies in contact with water, revealing that their charge states and hydration levels are jointly determined by pH and electrode potential, with hydrogen binding cooperatively to silicon vacancies but failing to passivate carbon vacancies without cathodic bias.
This paper presents an autonomous, uncertainty-aware active learning framework that efficiently couples atomistic kinetic Monte Carlo simulations with continuum fluid dynamics solvers for reactive vapor deposition, achieving high accuracy while reducing the required number of atomistic simulations by two to three orders of magnitude.
This study employs first-principles calculations to comprehensively characterize the structural, electronic, optical, elastic, and thermoelectric properties of the X2MoSeO6 (X = K, Rb, Cs) series, revealing non-monotonic bandgap variations, distinct mechanical anisotropy, and promising thermoelectric performance particularly in Rb2MoSeO6.
OpenFerro is a unified, GPU-accelerated lattice-field framework that leverages automatic differentiation and enhanced sampling to simulate ferroic dynamics at mesoscopic scales with atomistic resolution, bridging the gap between microscopic fluctuations and collective phenomena.
This paper introduces a self-supervised Joint Embedding Predictive Architecture (JEPA) for Powder X-ray Diffraction patterns that learns high-level crystallographic representations, enabling accurate space group classification and lattice parameter estimation while naturally organizing physical transformations and generating realistic multi-phase mixture patterns without explicit supervision.
This paper establishes that the topological descendants of antialtermagnets are governed by the phase winding of transverse mass pairs rather than the polynomial degree of the magnetic parent, a mechanism demonstrated through theoretical models yielding high-Chern-number Weyl points and confirmed by first-principles calculations on LaMnAu.
This paper proposes using graphene proximity as a momentum-selective near-field spectroscopy tool to characterize moiré excitons in WSe/MoSe heterobilayers, revealing that energy transfer rates to graphene differ significantly from far-field optical selection rules and can uniquely identify chiral dark states based on their transition dipole textures.
This study demonstrates that a multi-step induction-assisted hot rotary swaging process effectively tailors the microstructure, crystallographic texture, and mechanical properties of a novel Zr-4Nb-2Al alloy by refining grains and promoting globularization in the field, resulting in a significant trade-off between reduced yield strength and enhanced plastic deformability.