4091 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 microwave-synthesized SrRu1-xCoxO3 (x = 0.0, 0.05) exhibits a significant positive magnetovolume effect driven by the competition between RuO6 octahedral tilting and the spin-orbit interaction of doped Co2+ ions, with cobalt doping suppressing spontaneous thermal expansion while preserving the maximum magnetovolume magnitude.
This study reports that polycrystalline LaMn1-xCoxO3 samples synthesized via microwave irradiation exhibit dominant anisotropic magnetostriction that peaks at 1221 ppm for the x=0.5 composition due to high-spin Co2+ ions, despite the material's saturation magnetization decreasing monotonically with increasing cobalt content.
This paper resolves the apparent contradiction between gyromorphs and stealthy hyperuniform media by demonstrating that gyromorphs are actually Class III hyperuniform systems, which explains their degraded physical properties—such as the presence of localized states and pseudogaps instead of complete bandgaps—compared to the superior performance of Class I stealthy hyperuniform materials.
This paper proposes that interfacial-melt stability against spinodal decomposition is a critical thermodynamic prerequisite for solid-state synthesis, demonstrating through the Fe-B system that pressure-induced stabilization of the melt explains the experimental synthesis boundary of FeB and suggesting this criterion as a new descriptor for AI-driven materials discovery.
This paper demonstrates that intense terahertz excitation induces a coherent, light-driven ferroelectric state in centrosymmetric PbTe via anharmonic phonon coupling, enabling the deterministic amplification and suppression of polarization through double-pulse protocols.
This paper presents a reaction-network-level discovery framework that leverages ten-million-scale generative exploration and machine learning potentials to identify 279 promising ammonia synthesis catalysts by mapping the complex compatibility of four critical intermediates, thereby uncovering both traditional motifs and novel material families like Fe-V and Al-Pd-Zr that conventional screening methods miss.
This paper presents a reduced-order modelling framework using environment-dependent surrogate kinetics to efficiently simulate defect transport in chemically disordered UPuN, revealing complex non-linear diffusivity mechanisms driven by species-controlled migration and environment-dependent trapping.
This paper presents the development of specialized experimental instrumentation at the SIRIUS synchrotron facility to enable combined in-situ/operando X-ray absorption spectroscopy and electrochemical impedance spectroscopy studies of symmetric intermediate-temperature solid oxide fuel cells under varying atmospheres up to 800°C.
This paper demonstrates that unsupervised clustering algorithms can effectively automate the high-throughput analysis of nanobeam electron diffraction datasets by decomposing diffraction peak vectors to identify crystalline, amorphous, and minor components in both polycrystalline and single-crystal systems.
This study investigates step-edge passivation of vicinal Au(788) by chevron-GNRs as a strategy to improve the transfer of aligned 9-armchair graphene nanoribbons and introduces an automated Raman mapping framework to quantitatively reveal that, despite locally altering growth configurations, the current approach fails to achieve reproducible, high-yield transfer of intact ribbons.