3501 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 characterizes the hexagonal polymorph of disordered CePdGe as a cluster glass material with a freezing temperature of 3.44 K and a significant magnetocaloric effect near 7–9 K, distinguishing its physical properties from the antiferromagnetic behavior of its tetragonal counterpart.
This paper reports the observation of room-temperature antiferromagnetic resonance in bulk tetragonal NaMnAs, confirming its easy-axis nature and estimating a relatively large single-ion anisotropy of approximately 0.2 meV for the Mn ions.
This study demonstrates that S-doped graphyne monolayers exhibit strongly bound excitons with high binding energies and nanosecond radiative lifetimes, supporting a Berezinskii–Kosterlitz–Thouless superfluid phase with a transition temperature of approximately 143 K, thereby establishing a promising platform for high-temperature excitonic superfluidity.
This paper proposes a comprehensive one-dimensional theoretical model incorporating various recombination mechanisms, band-gap narrowing, and photon recycling to accurately simulate and optimize the performance of high-efficiency gallium arsenide solar cells, demonstrating strong agreement with experimental data.
This review synthesizes recent computational advances in understanding the coupled atomistic and molecular degradation mechanisms of PEMFCs, highlighting the limitations of current frameworks in capturing these complex feedback loops and proposing future directions that integrate multiscale modeling with machine learning potentials.
ZEBRA-Prop is a computationally efficient, zero-shot framework that leverages a materials-specialized large language model and a learnable weighting mechanism for diverse textual embeddings to predict material properties with performance comparable to fine-tuned models while reducing training time by approximately 95%.
This study demonstrates that precise tuning of cobalt intercalant composition in single crystals systematically modulates low-energy electronic degrees of freedom and magnetic order, leading to the critical suppression of the topological Hall effect and a peak in longitudinal conductivity at specific stoichiometries.
This paper establishes a rigorous theoretical framework for linear viscoelasticity across the sol-gel transition, demonstrating that the continuity of dynamic moduli and their derivatives at the critical gel point necessitates symmetric relaxation dynamics, which unifies scaling laws, imposes a hyper-scaling relation, and reveals a lower bound for the critical relaxation exponent.
This study demonstrates that liquid-state structural asymmetry, where cations with higher valence form locally crystal-compatible coordination environments more readily than lower-valence ones, governs species-selective incorporation and compositional heterogeneity during the crystallization of multicomponent systems like AgPbBiTe.
This paper demonstrates that the Sc2C2@C88 cluster functions as an ultra-compact, controllable multi-level probabilistic bit capable of generating high-quality random sequences and performing matrix-chain multiplication, thereby paving the way for next-generation intelligent electronic devices.