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 paper proposes a mechanism in synthetic antiferromagnets where off-resonant radiofrequency driving of optical modes triggers predator-prey dynamics between acoustic and optical modes, leading to self-induced time-periodic modulation of the canted state and the emergence of Floquet states observable as a rich frequency comb.
This paper demonstrates that Floquet engineering via periodic light irradiation provides a universal and tunable strategy to induce controllable odd-parity magnetism in conventional two-dimensional collinear antiferromagnets, expanding the design possibilities for unconventional compensated magnetic states.
This paper introduces MC3D, a comprehensive online database on the Materials Cloud portal containing experimentally known stoichiometric inorganic crystal structures with fully reproducible, DFT-optimized geometries derived from automated workflows and curated input protocols.
This study demonstrates that substitutional doping in the prototype altermagnet MnTe breaks specific symmetries to induce a generic spin-splitting in antiferromagnetic bands, defining a new class of "quasi-altermagnetic" materials capable of exhibiting tunable anomalous Hall conductivity.
This paper presents an extensive infrared spectroradiometry survey of lithium benzoate from 313 to 553 K, revealing that the recorded emission spectra differ significantly from absorption spectra and provide detailed insights into the temperature-dependent population of vibrational excited states, leading to a proposed hypothesis on thermal excitation mechanisms.
This paper theoretically investigates orbital magnetization in Sierpinski carpet and triangle fractals using the Haldane model, revealing that while both calculation methods agree, the distinct self-similar geometries induce contrasting behaviors—oscillations from dense edge states in the carpet and constant plateaus from spectral gaps in the triangle—highlighting the profound impact of quantum confinement on orbitronics in complex geometries.
This paper introduces a finite-element Delta-Sternheimer approach that integrates atomic orbital basis sets with finite-element grids to compute accurate all-electron RPA correlation energies for polyatomic molecules directly at the complete basis set limit, thereby eliminating the need for conventional extrapolation schemes and providing fully controlled numerical precision for systems like water dimers and the G2 set.
The paper introduces GoodRegressor, a hierarchical symbolic regression framework that balances predictive performance and interpretability by using depth-controlled expansion to navigate vast compositional spaces, achieving state-of-the-art results in materials science while revealing system-specific optimal interaction depths.
This study demonstrates that femtosecond optical excitation of bulk MoS2 at low temperatures induces a transient excitonic shift current responsible for enhanced THz emission, which diminishes above a critical fluence due to the formation of an electron-hole liquid.
This tutorial paper introduces Bayesian methods as a comprehensive framework for analyzing temperature-dependent transport data, addressing key challenges in parameter estimation, model selection, and uncertainty-aware extrapolation through examples from molecular dynamics simulations of superionic materials.