1319 papers
This paper establishes that while quantum optical probes can theoretically enhance biomolecular absorption spectroscopy, their practical advantage in concentration estimation is fundamentally limited by spectral calibration uncertainty, necessitating specific design criteria to balance photon budget allocation against calibration precision.
This paper demonstrates that while short-term threshold crossings in quantum error correction are predictable under slow calibration drift, a convolutional neural network offers no accuracy advantage over a simple last-cycle persistence baseline, highlighting the necessity of trajectory-disjoint evaluation and robust temporal baselines for assessing machine learning monitors.
This study demonstrates that encapsulating graphene Solution-Gated Field-Effect Transistors with commercially available, lower-quality multilayer hexagonal boron nitride effectively overcomes stability and mobility limitations, thereby enabling high-performance neural recordings for wearable and implantable biosensors.
This review critically synthesizes a cross-scale computational paradigm that integrates Density Functional Theory, machine learning, and device simulations to bridge microscopic atomistic parameters with macroscopic transport equations, offering a roadmap for the high-throughput discovery of stable and efficient lead-free perovskite photovoltaics.
This study utilizes seismic data from the 2022 Çat earthquake and multiple analytical methods to demonstrate significant topographic amplification (up to 3.89) at the Eastern Anatolia Observatory site, revealing a resonance at 0.85 Hz that exceeds current seismic code predictions and underscores the need for site-specific hazard assessments in steep terrain.
High-frequency surface pressure measurements in the Laminar Wind Tunnel reveal that a tractor-propeller slipstream can significantly extend the laminar flow region on a Natural Laminar Flow airfoil to up to 80% of the chord, offering critical insights for optimizing future aircraft propulsion and wing designs.
This paper introduces and validates a fictitious-source formulation that enables the direct numerical simulation of compressible turbulent boundary layers under prescribed streamwise pressure gradients within a flat Cartesian domain, effectively decoupling pressure-gradient effects from wall geometry while accurately reproducing key flow characteristics.
This paper presents closed-form predictions and a Born-weight dual boundary element–peridynamics coupling to determine the characteristic spacing and tension-driven energy share of tilted facets formed by a three-dimensional crack front under mixed mode I+III loading, thereby resolving the material length scale left open by scale-free elastic theories.
This study presents a coupled thermal–thermodynamic–kinetic model that predicts the extent of in-situ nitrogen alloying in AISI 316 during laser directed energy deposition, revealing that nitrogen uptake is kinetically limited by surface absorption dynamics rather than thermodynamic equilibrium and is strongly influenced by process parameters and dissolved oxygen.
This paper presents a flexible and resource-efficient quantum network enabled by integrated photonics and a novel management strategy that achieves trusted-node-free, dynamically scalable secure key distribution among multiple users over metropolitan-scale fiber links.