4239 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 demonstrates that subjecting thin spherical shells to active fluctuations reliably induces a crumpled phase, characterized by a universal master curve for volume reduction, a general expression for the critical onset force, and a varying size exponent.
This study employs machine learning simulations to reveal a crucial metastable SMMS intermediate structure that drives metal atom swapping and alloying during the growth of MoS/WS heterostructures, while also identifying its potential as a low Schottky barrier contact electrode for field-effect transistors.
This study utilizes angle-resolved vector piezoresponse force microscopy to experimentally demonstrate the existence of topologically non-trivial meron and antimeron structures in marginally twisted bilayer WSe2, successfully distinguishing between twist-induced Bloch-type and strain-induced Neel-type polar domains to establish a link between moiré engineering and real-space topology in 2D semiconductors.
This study demonstrates that substituting cerium with mischmetal in Al-(Ce, La, Nd) alloys yields consistent microstructural and mechanical properties, including excellent high-temperature hardness retention and creep resistance, while offering a sustainable alternative with reduced energy consumption and CO2 emissions.
This paper presents a computationally efficient single-particle method with core holes and semiempirical corrections that accurately predicts L- and M-edge X-ray absorption and electron energy-loss spectra for molecules and solids, offering performance comparable to or better than slower TDDFT calculations while highlighting the limitations of single-particle approximations in capturing multiplet effects.
This study reveals that extremely dilute magnetic disorder induces gapless superconductivity in 2H-NbSe2-xSx, a phenomenon driven by Se-S substitution-induced band structure modifications that alter in-gap scattering mechanisms and challenge the conventional understanding of disorder robustness in superconductors.
This study addresses the reproducibility challenges in perovskite solar cell manufacturing by developing an integrated fabrication platform and an interpretable machine learning framework to systematically map and quantify the complex, nonlinear interactions between ambient humidity, solvent partial pressure, and temperature on crystallization kinetics and device performance.
Using Density Functional Theory, this study reveals that interacting phosphorus and boron/aluminum -doped layers in silicon mimic intrinsic silicon at separations under 1 nm due to potential cancellation, while behaving as independent p-n junctions at larger distances with enhanced tunneling probabilities.
This paper presents an active-learning framework that combines density functional theory calculations, machine learning, and limited experimental data to identify effective metal capping layers, specifically Zr, Ta, and Sc, for inhibiting surface oxide formation and mitigating two-level system defects in niobium-based superconducting qubits.
This paper presents a novel, ligand-free femtosecond laser ablation method performed in ambient air to synthesize high-purity, tunable organic-inorganic and lead-free inorganic perovskite nanocrystals, offering a scalable alternative to conventional chemical synthesis for next-generation optoelectronic applications.