3992 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 introduces a first-principles trajectory-based method that demonstrates how finite-temperature lattice fluctuations, rather than just phonon occupations, fundamentally alter defect-assisted carrier capture rates by revealing significant deviations from standard zero-temperature harmonic models in certain materials.
This paper introduces a real-time frequency-tracking approach using centers in hexagonal boron nitride that enables fast, three-dimensional magnetic field mapping with sub-micron resolution and shot-noise-limited sensitivity, reducing acquisition times by over an order of magnitude compared to conventional methods.
Using first-principles simulations, this study demonstrates that confined molecular H within porous regions near amorphous/crystalline silicon interfaces enables a competitive double-hydrogen pathway for Si-H depassivation and rapid repassivation, providing an atomistic explanation for passivation recovery during light soaking.
This study demonstrates that reversing strain deformations in a poly(methyl methacrylate) glass induce a rejuvenation mechanism that enhances segmental mobility once the strain exceeds 60% of the yield point, with optical probe measurements revealing quantitative differences from purely mechanical yield stress assessments in the pre-yield regime.
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.