Results 111 to 120 of about 25,526 (214)

Numerical Simulations of Very Low Velocity Impacts and Ignition of an Explosive Confined by a Thin Case

open access: yesPropellants, Explosives, Pyrotechnics, Volume 51, Issue 3, Page 446-455, March 2026.
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

open access: yesAdvanced Quantum Technologies, Volume 9, Issue 3, March 2026.
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

open access: yesSmall, Volume 22, Issue 17, 20 March 2026.
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

open access: yesStat, Volume 15, Issue 1, March 2026.
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

TSG‐Net: A Multiscale Decomposition and Spatio‐Temporal Graph Neural Network Framework for High‐Precision Wind Power Forecasting

open access: yesWind Energy, Volume 29, Issue 3, March 2026.
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

Quantifying Historical and Future Surface Soil Moisture Drying Using Deep Learning and Remote Sensing

open access: yesEarth's Future, Volume 14, Issue 3, March 2026.
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

open access: yesJournal of Geophysical Research: Oceans, Volume 131, Issue 3, March 2026.
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

open access: yesJournal of Geophysical Research: Oceans, Volume 131, Issue 3, March 2026.
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

Modeling Dissolved Organic Carbon Dynamics in an Alpine Catchment Incorporating the Mountain‐Front Recharge

open access: yesWater Resources Research, Volume 62, Issue 3, March 2026.
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

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