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 a single-period ultrafast pulse modulation can effectively mimic periodic modulation to achieve controlled frequency transitions and strong nonreciprocity in space-time modulated metasurfaces, offering a practical and energy-efficient alternative to conventional continuous modulation schemes for dynamic photonic systems.
NuMagSANS is a GPU-accelerated, open-source software package that enables the flexible and rapid computation of nuclear and magnetic small-angle neutron scattering observables for complex systems by utilizing position-dependent density data, full rotational control, and a comprehensive library of response functions.
This study reveals that spontaneous electrostatic charging, driven by the plasticity of the epicuticular wax layer, fundamentally alters droplet dynamics on living leaves by generating forces strong enough to significantly slow water movement, challenging the traditional view of leaves as electrically neutral substrates.
This study employs constrained density functional theory to theoretically validate the low-temperature bulk structure of -RuCl, analyze its electronic character, and compute magnetic parameters that highlight the necessity of second-nearest-neighbor interactions and structural distortions for accurately describing its magnetism.
This paper investigates the properties of generalised balanced power diagrams (GBPDs) under affine transformations and flat sections, while also presenting an improved, more efficient rendering algorithm for generating digital images of these structures compared to brute-force methods.
McSAS3 is a refactored Monte Carlo software suite featuring a graphical user interface that enables automated and flexible form-free analysis of small-angle scattering data for both dilute and dense scatterers.
Using \emph{ab initio} and DFT+DMFT methods, this study reveals that electronic correlations in pressurized LaNiO drive a transition to a narrow-gap insulating state characterized by double spin-charge-density stripes and cooperative lattice distortions, suggesting that fluctuations in these stripe patterns are crucial for tuning the material's superconductivity.
This study combines machine learning potentials, density functional theory, and experimental validation to reveal that while ordered nitrogen vacancies in VN precipitates mitigate irradiation damage in ARAFM steels, solute additions like chromium disrupt this ordering and accelerate precipitate dissolution under fusion-relevant conditions.
This paper presents a simple finite element model of transient diffusion creep in polycrystalline materials, demonstrating that its linear viscoelastic behavior can be effectively described by an extended Burgers model where the high-frequency Andrade exponent is determined by grain junction geometry, though the model provides only a lower bound for attenuation observed in laboratory experiments due to unaccounted dissipative processes.
This study characterizes Cyclo-graphyne (CGY) as a dynamically and thermally stable, highly porous 2D carbon allotrope with semimetallic properties, Dirac cones, and exceptional mechanical compliance, making it a promising candidate for applications in gas separation, flexible nanoelectronics, and optoelectronics.