2858 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 reports the successful growth of single-phase B20 MnGe thin films on a nonmagnetic CrSi template via molecular-beam epitaxy, revealing intrinsic magnetic properties including a cone phase and an unexpected low-temperature remanent moment suggestive of a triple-Q topological spin-hedgehog lattice or multidomain helical state.
This study demonstrates that coupling a multi-mode metal-insulator-metal cavity to a two-dimensional electron gas in a magnetic field creates hybrid magnetoplasmon-polariton modes where the inhomogeneous nature of the TM mode activates observable non-local Coulombic effects, offering a new pathway to probe Coulomb interactions in ultrastrongly coupled systems through cavity mode engineering.
This paper introduces iDART, an interferometric dual-AC resonance tracking technique that achieves over a 10-fold improvement in signal-to-noise ratio for piezoresponse force microscopy, enabling reliable quantitative imaging and spectroscopy of both strong and weak nanoscale electromechanical systems while mitigating artifacts associated with high-voltage excitation.
LLEMA is a unified framework that integrates large language models with chemistry-informed evolutionary rules and memory-based refinement to efficiently discover chemically plausible, stable, and multi-objective optimized materials, outperforming existing generative and LLM-only baselines across diverse application domains.
This paper introduces CycleChemist, a dual-pronged machine learning framework that leverages a new large-scale dataset (OPV2D) to simultaneously predict organic photovoltaic performance and generate synthetically accessible high-efficiency donor-acceptor materials through an integrated predictive and generative approach.
This paper proposes a multiscale computational framework to bridge the gap between molecular structure and memristive function in organic materials, examining ionic migration, redox-driven switching, and chiral conduction mechanisms to guide the design of next-generation neuromorphic hardware.
This paper presents a robust bimorph lithium niobate PMUT utilizing a 20 μm thick periodically poled film that achieves a high electromechanical coupling of 6.4% and demonstrates exceptional thermal resilience with stable operation up to 600°C and survival up to 900°C.
This study demonstrates that the sticking coefficient of Mn in GaN grown by plasma-assisted molecular beam epitaxy is highly dependent on flux conditions, being highest under N-rich environments and lowest under Ga-rich conditions.
This study demonstrates that aqueous chlorine dioxide radicals can serve as transient spin labels for poly(ethylene terephthalate), enabling the identification of plastic types and the measurement of molecular diffusion within the polymer matrix through electron spin resonance spectroscopy.
This paper presents the first theoretical and experimental realization of two-dimensional Floquet non-Abelian band topology in photonic scattering networks, demonstrating unique multi-gap topological phenomena such as anomalous phases, Euler transfers, and non-Abelian braiding of band nodes.