4820 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.
Vapor-deposited glasses of the liquid crystal itraconazole exhibit highly organized, tunable smectic-like structures that surpass thermally annealed films in structural order, a phenomenon driven by surface-enhanced molecular motion and orientation independent of substrate anchoring.
This chapter examines the mechanical response of polymer glasses from a molecular perspective, demonstrating that enhanced segmental dynamics during active deformation are central to understanding yield and flow behaviors, while also acknowledging the role of structural changes.
This paper presents the AutoMOOSE framework, an agentic software system that translates natural language requests into executed, screened, and interpreted MOOSE phase-field simulations by detailing its architecture, six-agent pipeline, and mechanisms for physical falsification and automatic repair to enhance extensibility and interoperability in multiphysics materials design.
This study utilizes machine learning interatomic potentials to screen nearly 500 potential high entropy oxide compositions, successfully identifying 16 promising candidates and experimentally discovering three new corundum-structured HEOs, thereby demonstrating that while HEOs are rarer than initially predicted, machine learning effectively guides their discovery.
This paper proposes a unified Landau theory demonstrating that magnetic-field selection in altermagnets and noncollinear antiferromagnets is governed by a binary order parameter coupling to odd-degree magnetic field polynomials, thereby identifying higher-order magnetic susceptibilities rather than net magnetization as the key experimental signature for distinguishing their magnetic orders.
This paper presents a strategy to overcome the scalability limits of sub-20 nm Spin Transfer Torque Magnetic Random Access Memory by utilizing a 3D storage layer with enhanced shape anisotropy to maintain thermal stability at sub-10 nm nodes while achieving faster switching speeds at reduced voltages.
This paper introduces a constrained Bayesian Adaptive Biasing Force (BABFc) framework that enables the systematic, accurate, and efficient calculation of anharmonic formation free energies for metastable defects in complex, highly anharmonic energy landscapes without requiring defect-specific collective variables, as demonstrated through extensive applications to interstitial and vacancy configurations in bcc -Fe.
This paper demonstrates that installing a methyl group at the 5-position of a 1,3-dioxane ring acts as a "magic" structural modification that significantly enhances or enables polar order in liquid crystals, increasing the onset temperature of such phases by up to 120°C across multiple molecular families.
Using laser micro-ARPES, this study reveals that monolayer TaIrTe possesses a quasi-one-dimensional band structure with a van Hove singularity at a carrier density inconsistent with transport anomalies, suggesting that strong electron correlations play a secondary role in the material's quantum spin Hall phase.
This study demonstrates that multislice electron ptychography reconstructions of phase and amplitude remain highly accurate and largely insensitive to incoherent thermal diffuse scattering, confirming that the standard absorptive potential forward model is sufficient even for thick samples containing heavy elements.