Results 111 to 120 of about 25,526 (214)
A low‐speed impact (around one meter per second) of a metallic tip on an explosive confined by a thin plate is simulated. The heat due to friction between the tip and the plate and the one due to the deformation of the plate are not transfered to the ignited zone.
Lucas Bonneau, Didier Picart
wiley +1 more source
Qubit‐Efficient Quantum Local Search for Combinatorial Optimization
We introduce a qubit‐efficient variational quantum algorithm for combinatorial optimization that adaptively uses from logarithmic to a linear number of qubits to implement quantum local search. The method encodes flip probabilities of spin groups into quantum amplitudes, enabling exploration of classically intractable neighborhoods while maintaining ...
Mikhail Podobrii +4 more
wiley +1 more source
Toward Real‐Life Applications of Fiber Lithium‐Ion Batteries
Fiber‐shaped lithium‐ion batteries require effective encapsulation to achieve long‐term stability in wearable applications. This work discusses different encapsulation strategies and technologies, and summarizes how encapsulation affects capacity retention, efficiency, and internal resistance.
Mengli Wei +4 more
wiley +1 more source
A Generalization Error Bound of Physics‐Informed Neural Networks for Ecological Diffusion Models
ABSTRACT Ecological diffusion equations (EDEs) are partial differential equations (PDEs) that model spatiotemporal dynamics, often applied to wildlife diseases. Derived from ecological mechanisms, EDEs are useful for forecasting, inference, and decision‐making, such as guiding surveillance strategies for wildlife diseases.
Juan Francisco Mandujano Reyes +4 more
wiley +1 more source
ABSTRACT Wind energy's intermittency poses significant challenges for power grid stability. Existing forecasting methods exhibit notable limitations: traditional machine learning models struggle with long‐term temporal dependencies, while deep learning approaches often overlook spatial relationships among turbines.
YuChen Zhang
wiley +1 more source
Abstract Understanding historical and future surface soil moisture (SSM) drying is pivotal due to its close links with droughts, heatwaves, and wildfires, yet debates regarding its evolution persist. In this study, we leverage advanced deep learning techniques to fill gaps of remote sensing‐based SSM data during 1983–2020 and therefore use these gap ...
Yong Bo +11 more
wiley +1 more source
Topographic Scattering of Internal Waves in the Presence of a Steady Surface Current
Abstract Wave–topography interaction is one of the primary mechanisms through which internal wave energy cascades to small length scales, eventually leading to turbulent diffusion and mixing in the oceans. Precise diffusivity parametrizations are crucial for modeling oceanic flows accurately.
Saranraj Gururaj, Anirban Guha
wiley +1 more source
Dispersive Wave Focusing in Shoaling Water With Currents
Abstract A methodology creating dispersive focusing waves on constant depth, originally proposed by Rapp and Melville (1990), https://doi.org/10.1098/rsta.1990.0098, has provided a wide range of applications studying nonlinear waves, wave breaking, and rogue waves in the open ocean.
Y. Watanabe, T. Davey, D. M. Ingram
wiley +1 more source
Abstract The mountain front recharge (MFR) process significantly influences the movement of water and dissolved organic carbon (DOC) in alpine catchments. However, no existing watershed models can adequately simulate this process, hindering accurate quantification of streamflow and DOC dynamics.
J. J. Liu +6 more
wiley +1 more source
On certain novel numerical and analytical solutions for the pure-cubic Schrödinger equation in optical fibers with Kerr nonlinearity. [PDF]
Tariq KU +3 more
europepmc +1 more source

