2832 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 van der Waals stacking of WS and ReSe with distinctive crystal phases enables highly anisotropic enhancement and suppression of second-harmonic generation through interlayer hybridization and band renormalization, rather than simple band alignment.
This paper introduces the concept of "orbital altermagnetism," a symmetry-protected magnetic order characterized by staggered orbital moments and momentum-dependent band splittings that arises from loop currents in specific lattice structures and is predicted to exist in materials like CuBr and VS, offering new opportunities for orbital-based spintronics.
This paper presents a computational framework that combines database analysis with microscopic modeling to predict and identify promising new molecular single-photon emitters, successfully benchmarking the approach on dibenzoterrylene and discovering novel candidates like a chiral emitter.
This review comprehensively introduces the geometrical formalism of strained moiré superlattices derived from linear elasticity theory, explores their application in various twisted 2D materials to predict special patterns, and summarizes recent experimental techniques for realizing and engineering these strain-induced geometries.
This study presents a glucose oxidase-embedded hydrogel that utilizes enzymatic pH waves to drive autonomous, energy-dependent spatiotemporal stiffening, revealing that mechanical transduction lags behind chemical propagation and establishing design principles for adaptive soft materials.
This study refutes previous claims that (Ca₀.₅Mn₁.₅)MnWO₆ is a hybrid multiferroic by demonstrating through comprehensive dielectric, magnetic, and structural analyses that observed anomalies are attributable to spin-phonon coupling and chemical impurities rather than intrinsic ferroelectric or antiferroelectric ordering, thereby reclassifying the material as a paraelectric antiferromagnet.
This paper introduces PAIPAI, an efficient Monte Carlo framework coupled with machine-learning potentials and a dual-worker architecture, to successfully predict the ground-state atomic configurations of defective high-entropy alloys containing interstitials, as validated by density functional theory across multiple case studies.
This study utilizes density functional theory to investigate the structural, electronic, mechanical, and thermodynamic properties of the half-metallic N2CaNa full-Heusler alloy, revealing its mechanical stability, ductility, and potential for applications in spintronics and structural engineering.
This paper demonstrates the experimental creation, steering, and parking of individual topological torons in chiral nematic liquid crystals using tailored alternating-current electric fields, enabling deterministic submicrometre control over their trajectories for applications in reconfigurable patterning, micromanipulation, and optical memory.
This paper demonstrates that gallium-based liquid-metal interconnects enable high-performance, non-destructive, and reconfigurable modular superconducting quantum circuits by maintaining microwave quality across thermal cycles and module replacements while revealing specific kinetic inductance and power-dependent loss characteristics.