2898 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 presents a high-throughput computational screening of 39 billion protostructures that generates a curated dataset of 81 million locally relaxed crystal structures, including nearly 89,000 novel prototypes, to systematically map low-energy compositional-structural space for accelerated materials discovery.
This paper presents a fabrication-robust hybrid BaTiO-TiO waveguide design that utilizes modal phase-matching to overcome the poling challenges of pure BaTiO, achieving a 2.75-fold increase in second harmonic generation efficiency for scalable, CMOS-compatible integrated nonlinear photonics.
This study demonstrates that thermal annealing of the high-entropy alloy superconductor (TaNb)0.7(HfZrTi)0.5 tailors its microstructure to induce enhanced flux pinning and reveal a two-phase superconducting state, establishing a direct correlation between topological phase connectivity and vortex dynamics.
This study investigates how hydrogen incorporation alters the electronic and magneto-structural properties of X2CrNi18-9 stainless steel, revealing that hydrogen preferentially accumulates near nanoscale inhomogeneities and induces measurable changes in Seebeck coefficients, thereby providing insights for designing more hydrogen-resistant steels.
This paper investigates the emergence of ultra-complex conductivity diagrams in cubic metals within the nearly free electron approximation, concluding that such phenomena are restricted to extremely narrow energy intervals near the Fermi level due to the system's high symmetry and simplified dispersion relations.
By combining combinatorial deposition with low-temperature selenization and supported by density functional theory simulations, researchers successfully achieved synthetic control over the marcasite polymorph in the Fe1-xCoxSe2 series, demonstrating that the marcasite structure is the thermodynamic equilibrium phase across the entire composition range.
This paper derives a new rate law for thermally activated interstitial transfer across equilibrated crystal interfaces that explicitly incorporates chemical potentials and vacancy fractions, thereby explaining the drastic slowdown in metal hydride charging near phase transformations.
This paper introduces MEIDNet, a multimodal generative AI framework that combines equivariant graph neural networks and contrastive learning to efficiently accelerate the inverse design of novel, stable materials with targeted properties, as demonstrated by the successful generation of low-bandgap perovskites.
This study employs a combination of NMR, THz-Raman spectroscopy, and DFT calculations to determine the specific molecular geometry and adsorption-induced conformational changes of TDBC dye aggregates on silver nanoprisms, thereby establishing a structural benchmark for understanding the photophysics of TDBC-Ag plexcitonic assemblies.
Using the Haldane model and the local Chern marker, this study demonstrates that disorder stabilizes a topological Anderson insulator phase bounded by trivial and Anderson insulators, while multifractal analysis reveals universal critical spectra at the transition that unify topology, localization, and criticality.