2732 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 employs classical molecular dynamics simulations to investigate helium bubble nucleation, stability, and interfacial tension in liquid lead-lithium alloys across a range of temperatures and compositions, providing critical insights for the design of nuclear fusion reactor breeding blankets.
This study employs density functional theory to demonstrate that hexagonal (2H) GeSn alloys maintain a tunable direct bandgap in the mid-infrared range with giant polarization anisotropy, thereby overcoming the compositional limitations of their cubic counterparts for infrared optoelectronics.
This paper establishes chirality as a fundamental property of elastic waves by revealing a new continuous symmetry and conservation law in linear isotropic elasticity, distinguishing between integral chirality driven by transverse phonon imbalance and local chirality involving both transverse and longitudinal components, while introducing related concepts of acoustic helicity and "false chirality."
This study combines experimental magnetization measurements up to 40 T with classical Monte Carlo simulations to reveal reentrant behavior and a distinct magnetization plateau in the frustrated double-trillium langbeinite KNi(SO), characterized by a partially polarized strong-trillium sublattice and a fully polarized weak-trillium sublattice.
This study demonstrates that synthesizing nanostructured perovskites via a pore-wetting method and substituting Fe with Co effectively enhances ferromagnetic coupling and magnetocaloric performance, achieving a maximum entropy change of 1.13 J/(kg K) at 3 T for the fully substituted sample ().
This paper introduces OpenAaaS, an open-source, distributed Agent-as-a-Service framework that enables secure, multi-agent collaboration for materials informatics by adhering to a "code flows, data stays still" principle, thereby allowing institutions to integrate isolated data and computational resources without compromising data sovereignty.
This paper derives transient-time correlation function expressions for both linear and nonlinear dynamic elastic moduli using equilibrium stress fluctuations and DOLLS/SLLOD equations, thereby enabling the computation of anharmonic viscoelastic responses from equilibrium molecular dynamics simulations without explicit nonequilibrium deformation protocols.
This paper demonstrates that highly birefringent ferroelectric van der Waals waveguides, particularly NbOI2, enable giant optical spin-orbit interactions and polarization-controlled beam steering on sub-micrometer scales, establishing them as a superior platform for densely integrated opto-spintronic technologies.
This paper introduces the concept of "cross-sample prediction churn" to highlight the instability of scientific machine learning models across different training data draws and demonstrates that data-side methods like -bootstrap bagging and the proposed twin-bootstrap approach significantly reduce this churn without sacrificing predictive accuracy, unlike standard parameter-side techniques.
This paper presents a generalizable method for enhancing the laser absorptivity and printability of reflective and refractory metal powders in additive manufacturing by introducing nanoscale grooves to their surfaces, which significantly improves energy efficiency and enables the production of high-density parts from challenging materials like copper.