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.
This study utilizes angle-resolved photoemission spectroscopy to comprehensively map the electronic band structure of CeCoGe across the entire Brillouin zone, confirming first-principles predictions of topological nodal lines while identifying a surface state and folded bands arising from unit cell reconstruction.
This study demonstrates that non-monotonic and anisotropic microwave electrodynamics in hybrid Al/InAs heterostructures provide direct evidence for the emergence of Bogoliubov Fermi surfaces driven by the interplay of Zeeman and orbital Fulde-Ferrell effects.
This paper proposes a simple experimental procedure based on conformal mapping to extract the full conductivity tensor, including the principal axes angle, for anisotropic 2D materials in rectangular geometries, a method validated by numerical simulations and known limiting cases.
This study evaluates the cross-geometry transferability of pretrained machine learning interatomic potentials for ZrO2, revealing that while fine-tuning outperforms training from scratch, zero-shot models suffer significant degradation in low-coordination nanostructures and that average error metrics fail to reliably predict specific physical property performance, necessitating geometry-diverse data and independent physical validations for robust adaptation.
This study reveals that nonmagnetic layered Pd-based multiband metals, despite possessing complex Fermi surfaces and imperfect carrier compensation, exhibit a universal magnetoresistance scaling governed by carrier mobility and a single effective scattering time, establishing a new class of large magnetoresistance phenomena distinct from compensated semimetals.
The study identifies Eu3In2As4 as a minimal topological magnet where giant exchange coupling and soft magnetic response enable vectorial control of its band structure, allowing magnetic fields to systematically tune the material through distinct topological phases, including a unique single-pair Weyl semimetal state.
Using machine learning-based molecular dynamics simulations, this study reveals that incorporating moderate amounts of P2S5 into B2S3-based glassy electrolytes optimizes both ionic conductivity and mechanical ductility by depolymerizing the rigid boron framework to create percolative diffusion pathways while enabling energy dissipation through flexible P-S-P configurations, whereas excessive P2S5 hinders performance by re-polymerizing the network.
This study demonstrates that structural disorder in Zeolitic Imidazolate Framework (ZIF) glasses significantly enhances and isotropizes room-temperature lithium-ion diffusion by lowering activation energies and enabling continuous, homogeneous transport, thereby positioning ZIF glasses as promising candidates for high-performance solid-state battery electrolytes.
This paper demonstrates that engineering the internal morphology of PEDOT:PSS:PEI films via pH-induced aqueous phase separation creates a porous network that overcomes the gain-speed trade-off in organic electrochemical transistors, enabling high transconductance and fast response times at ultralow voltages even in thick channels.
Using a 256-qubit Rydberg atom array to simulate the 2D transverse-field Ising model, researchers discovered unexpected relaxation regimes, including a prethermal phase and a slowdown crossover where classical methods fail, thereby demonstrating the platform's potential for scientific discovery in nonequilibrium quantum dynamics.