2898 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 establishes MnTe as a tunable Weyl magnon material by combining experimental spectroscopy and theoretical modeling to demonstrate how its non-coplanar antiferromagnetic order hosts symmetry-protected topological nodal lines that transform into Weyl magnons under an external magnetic field.
This study utilizes scanning tunneling microscopy and numerical calculations to reveal the coexistence of short-ranged charge stripe (smectic) order and superconductivity in the Si square-net semimetal NaAlSi, attributing the intertwined phases to kinetic energy suppression on specific p-orbital hole pockets of the Fermi surface.
This study demonstrates a reversible, structurally driven topological phase transition in the distorted square net material GdPS, where in situ potassium dosing induces subtle sub-surface distortions that tune the electronic structure from a trivial insulator to a gapless Dirac state and finally to a two-dimensional topological insulator.
This study demonstrates that biaxial tensile strain in SrFeO₃ thin films controls helimagnetic order through defect-driven chemical expansion, where lattice dilation promotes oxygen vacancies to modify Fe-O hybridization and enhance superexchange, thereby offering a new pathway for engineering complex magnetic textures in oxide thin films.
This study utilizes first-principles calculations to refute the hypothesis that the anomalous 175 cm Raman mode in MnTe arises from symmetry-lowered phonon leakage, instead proposing it is a hole self-doping-enabled plasmon.
This first-principles multiscale computational study demonstrates that a ferrocene-functionalized covalent organic framework (MSUCOF-4-FeCp) significantly exceeds U.S. Department of Energy hydrogen storage targets with 18.0 wt% gravimetric and 72.6 g H2/L volumetric capacities at 298 K and 700 bar, offering a cost-effective alternative to precious metal-based materials.
This paper presents a novel kinetic phase-field model that utilizes a geometric conservation law and nonlocal curvature-based criteria to control interface coalescence, enabling the simulation of diffusion bonding processes where solid-solid interfaces can be preserved distinct under specific thermodynamic conditions.
This study demonstrates that atomically precise sculpting of bilayer hexagonal boron nitride nanoribbons can be achieved by leveraging crystallographic orientation to guide cutting directions and employing a sequential milling strategy that minimizes beam tail effects, thereby establishing a predictive framework for top-down nanofabrication.
This paper introduces QHFlow2, a state-of-the-art machine learning Hamiltonian model that significantly outperforms existing methods in energy and force prediction accuracy by directly evaluating predicted Hamiltonians, achieving NequIP-level force precision and up to 20-fold improvements in energy error on standard benchmarks.
This study systematically evaluates core-hole treatments for molecular XANES under periodic boundary conditions, demonstrating that while the full core-hole approach suffers from significant finite-size effects requiring complex corrections, the excited core-hole method and a proposed Fermi-level-based correction offer efficient, accurate, and stable alternatives for reproducing experimental chemical shifts across various molecular systems.