871 papers
This study demonstrates that a 6-layer deep neural network achieves 15 mK-level accuracy in all-optical NV diamond thermometry, significantly outperforming traditional regression models, while introducing an "explainable modes of deviation" (xMoDs) framework to spectroscopically interpret the model's decision-making processes.
This paper presents a scalable, binder-free 3D printing strategy for thermoelectric devices that utilizes kinetically controlled non-equilibrium powders to enable intrinsic self-soldering, achieving ingot-level performance and high power density while eliminating costly extrinsic binders.
This first-principles study reveals that hydrostatic pressure drives semiconductor-to-topological-nodal-line-semimetal transitions in - and -phase SnTe monolayers and bilayers, with bilayers exhibiting significantly lower critical pressures and enhanced dynamical stability due to interlayer coupling, thereby establishing these 2D structures as versatile platforms for tunable quantum and optoelectronic devices.
This paper introduces a novel, physics-based predictive model for Enhanced Oil Recovery efficiency that utilizes exclusively measurable physicochemical properties and a chemical affinity term to achieve high accuracy (0.39% mean absolute error) across diverse flooding techniques without relying on arbitrary empirical factors.
This paper presents a unified construction demonstrating how the Standard Model gauge group emerges from Loop Quantum Gravity by integrating a monotone relative-entropy renormalization group, a flux-gauge network model, and geometric engineering to derive the SU(5) breaking to SU(3)×SU(2)×U(1) via a vertex-Higgs mechanism, while rigorously proving key group-theoretic results and reporting numerical validations of the underlying coarse-graining dynamics.
This paper demonstrates a compact, miniaturized Rydberg-atom superheterodyne receiver capable of continuous electric field measurements from 1 to 40 GHz by utilizing a microstrip balun as an integrated local oscillator source.
This paper presents a unified numerical-to-experimental framework for simulating the 2+1 dimensional Dirac oscillator, utilizing a single platform-independent control Hamiltonian to seamlessly transition between numerical verification and experimental realization on both optical and microwave quantum platforms.
Using scanning tunnelling microscopy, researchers demonstrate that intervalley coherence in rhombohedral pentalayer graphene is a pervasive, tunable instability that persists across a broad range of carrier densities and displacement fields, coexisting and competing with other correlated electronic states.
This paper introduces CETER, a topology-guided Schur recycling framework that accelerates parametric incompressible CFD by algebraically reusing pressure-coupling mechanisms while employing persistent homology and residual checks to safely reject solver reuse when flow separation topology or algebraic consistency is compromised.
This study demonstrates that integrating a graphene layer with gold nanocylinder arrays enables simultaneous optical enhancement through aspect-ratio-controlled plasmonic localization and thermal stabilization via graphene's superior lateral heat diffusion, effectively reducing temperature non-uniformity by over 92% while preserving strong plasmonic effects.