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 paper introduces a simulation tool for applying shear strain at arbitrary angles to reveal that packing instabilities in disordered solids form continuous lines in phase space, exhibit diverse interaction behaviors, and generate a proliferation of small hysterons as the strain angle approaches the point of instability disappearance.
This paper introduces ferroaxial magnets as a new class of multiferroic materials that break mirror symmetry while preserving time-reversal and spatial-inversion symmetries, identifying candidate materials and proposing a third-order nonlinear Hall effect as a direct probe for their metallic state to enable applications in antiferromagnetic spintronics.
This paper introduces a unified thermal impedance spectroscopy framework that combines AC susceptibility and AC magnetocaloric measurements to accurately distinguish internal from external relaxation mechanisms, which is demonstrated by characterizing the slow spin-lattice relaxation dynamics in YbVO4 at 3 K.
This paper investigates the transition from weakly to strongly entangled excitonic regimes in 1D systems, particularly under strong illumination where fermionic behaviors emerge, thereby establishing criteria for the validity of many-body perturbation theories and providing a comprehensive framework for analyzing multi-particle correlations in excitonic phases.
This paper introduces LumPerNet, a deep-learning framework that accurately quantifies the efficiency retention of perovskite solar cells by analyzing spatially resolved multimodal luminescence images, thereby enabling rapid, non-invasive degradation monitoring and accelerated stability testing.
This paper reveals that glasses approaching failure under high stress triaxiality exhibit a distinct hyperelastic response dominated by reversible nonaffine deformation and micro-cavity formation, which ultimately nucleate irreversible cavitation failure regardless of the glass's quenching rate.
This study utilizes MHz-frequency STM noise spectroscopy to reveal that the ionization of individual sulfur donors in InAs is a dynamic, non-equilibrium process driven by local electric fields, characterized by nanosecond-scale charge-state switching and a distinct bias-dependent onset linked to bulk electron interactions.
This study demonstrates that multistable mechanical metamaterials can simultaneously achieve enhanced shock absorption and energy harvesting by utilizing transition waves to trap and dissipate impact energy at specific locations, a mechanism supported by analytical modeling, numerical simulations, and experimental validation.
The paper introduces QMatSuite, an open-source platform that enables AI agents in computational materials science to consolidate experimental knowledge through provenance tracking and reflection, significantly reducing reasoning overhead and improving accuracy across both familiar and unfamiliar material simulations.
This paper reanalyzes neutron scattering data from the relaxor ferroelectric PMN to demonstrate that its intrinsic bulk flexoelectricity is comparable to conventional perovskites, suggesting that its unique relaxor properties arise from the suppression of hybridized fluctuation correlations near a Lifshitz-point regime.