3525 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 reanalyzing ambient temperature data from a certified laboratory report allows for the indirect extraction of key fast-charging metrics—such as cycle count, period, and asymmetry—revealing that an unstated device successfully completed 338 rapid charge/discharge cycles at a 3C rate without detectable thermal degradation.
This paper introduces MEEDiT, a digital twin framework that integrates advanced thermo-field emission models with experimental data and neural networks to enable real-time, resource-efficient characterization of electron emitters by extracting critical physical parameters like temperature and field enhancement that are otherwise inaccessible.
This study theoretically predicts the existence of stable three-dimensional carbon allotropes derived from - and -graphyne via interlayer acetylene bridging, which form fully $sp$- hybridized networks with distinct anisotropic mechanical, electronic, and optical properties confirmed by density functional theory and ab initio molecular dynamics simulations.
This paper introduces a widefield two-dimensional electronic spectroscopy microscope (2DESM) that combines femtosecond temporal and micrometer spatial resolution to simultaneously map spectral and spatial dynamics in heterogeneous systems, demonstrated by revealing distinct spatial variations in excitonic dynamics within bilayer WSe2.
This paper demonstrates that highly crystalline 2-methylbenzimidazole (MBI) films, grown via low-temperature deposition and restrained crystallization, exhibit exceptional fatigue resistance with stable polarization after 10⁸ switching cycles, attributed to localized proton-transfer mechanisms that minimize structural damage during polarization reversal.
This study experimentally investigates spin and orbital torque phenomena in various normal metal/ferromagnet bilayers using spin-torque ferromagnetic resonance, successfully extracting torque components and providing compelling evidence for orbital torque driven by the orbital Hall effect, including the demonstration of an out-of-plane torque attributed to interfacial mechanisms.
By combining first-principles calculations with machine-learned potentials for large-scale molecular dynamics, this study reveals how cooperative octahedral rotations and dominant four-phonon scattering drive negative thermal expansion and a non-monotonic thermal conductivity anomaly in CaSnF, establishing a unified mechanism linking structural phase transitions to anharmonic lattice dynamics and macroscopic transport properties.
This paper demonstrates the application of variational quantum deflation to study Frenkel excitons on NISQ hardware, introducing a novel deep learning-based error mitigation framework that outperforms conventional post-selection techniques.
The paper introduces ERelax-H, an end-to-end equivariant graph neural network that unifies atoms and lattice vectors as graph nodes to efficiently capture high-degree angular and high-order geometric correlations for direct, one-shot crystal structure optimization.
ChargeFlow is a flow-matching model that efficiently refines charge-conditioned atomic density superpositions into accurate DFT electron densities for charged materials, demonstrating superior performance in handling nonlocal charge redistribution and charge-state extrapolation while maintaining chemical utility for downstream analyses like Bader partitioning.