Results 61 to 70 of about 1,537 (209)

Subspace Acceleration for Efficient Nonlinear Water Wave Simulation

International Journal for Numerical Methods in Fluids, EarlyView.
We introduce an exponentially weighted subspace acceleration technique to reduce GMRES iterations for solving the Poisson equation with time‐dependent coefficients in nonlinear, dispersive free‐surface flows governed by the incompressible Navier‐Stokes equations. The method significantly reduces memory requirements and computational complexity compared
Rasmus Kleist Hørlyck Sørensen, Margherita Guido, Allan Peter Engsig‐Karup, Daniel Kressner   +3 more
wiley   +1 more source

Immersed Boundary Projection Method for Boundaries With Slip Velocities

International Journal for Numerical Methods in Fluids, EarlyView.
A formulation of the immersed boundary method for incompressible flow over arbitrarily‐shaped bodies with surface slip described by the Navier boundary condition is presented. The wall slip velocity and the boundary force are determined implicitly through a projection to satisfy both the boundary condition and the divergence‐free condition of the ...
Takehiro Fujii, Takeshi Omori
wiley   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

A Novel Text‐Based Framework for Forecasting Carbon Prices

Journal of Forecasting, EarlyView.
ABSTRACT This study proposes a text‐based framework for predicting EU carbon prices. Using weekly data from 2020 to 2024, we construct a multivariate dataset combining financial indicators, commodity prices, Google Trends measures, and news‐based sentiment extracted using FinBERT.
Christian Oliver Ewald, Yaoyu Li
wiley   +1 more source

Machine Learning‐Based Estimation of Reference Evapotranspiration and Crop Coefficients for Wheat Under Diverse Climatic Conditions

Irrigation and Drainage, EarlyView.
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin, Hasan Er, Mete Yaganoglu, Muhammed Sungur Demir, Abdullah Muratoglu   +4 more
wiley   +1 more source

Robustness of Spontaneous Polarization Through Nonlinear Directional Antagonism Without Global Inhibition

Journal of the Chinese Chemical Society, EarlyView.
The conventional “local activation–global inhibition” (LAGI) models utilize mean‐field averaging inhibition to suppress distant activations. As the inhibition diminishes with distance, LAGI models struggle to achieve robust single‐axis polarity in large systems.
Chin‐Lin Guo, Chiao‐Yu Tseng
wiley   +1 more source

Changing Water Resources in the Indus Basin: A Multi‐Model Budyko‐Based Analysis

International Journal of Climatology, EarlyView.
Budyko‐based analysis evaluates historical (1962–2005) and future hydroclimatic change across the Indus River Basin. Budyko shifts indicate rising atmospheric evaporative demand and increasing energy limitation under future scenarios. ABSTRACT Assessing hydroclimatic variability and future water availability is crucial for sustainable water‐resource ...
Muhammad Arif, Chia‐Jeng Chen, Nir Krakauer, Tsung‐Yu Lee   +3 more
wiley   +1 more source

Translating Machine Learning Into Manufacturing Expertise—Actionable Interpretability and Stability for Precision Injection Molding

Polymer Engineering &Science, EarlyView.
This research aims to enhance confidence in using AI/ML models and address unpredicted defects occurred during injection molding (IM) through guided machine fine‐tuning. Integrated stability analysis and parallel coordinate visualization coupled with perturbation analysis are presented to augment domain‐specific XAI applications in the IM industry ...
Chung‐Yin Lin, Jinsu Gim, Andrea Pieressa, Demitri Shotwell, Kris Sankaran, Giovanni Lucchetta, Lih‐Sheng Turng   +6 more
wiley   +1 more source

Fractional Wave Structures in a Higher-Order Nonlinear Schrödinger Equation with Cubic–Quintic Nonlinearity and β-Fractional Dispersion

Fractal and Fractional
This study employs the improved modified extended tanh method (IMETM) to derive exact analytical solutions of a higher-order nonlinear Schrödinger (HNLS) model, incorporating β-fractional derivatives in both time and space.
Mahmoud Soliman, Hamdy M. Ahmed, Niveen M. Badra, Islam Samir, Taha Radwan, Karim K. Ahmed   +5 more
doaj   +1 more source

AWSD Reactive Burn Model for the HMX‐Based High Explosive LX‐04

Propellants, Explosives, Pyrotechnics, EarlyView.
ABSTRACT An Arrhenius–Wescott–Stewart–Davis (AWSD) reactive burn model is applied to describe shock initiation and detonation properties of the HMX‐based high explosive LX‐04. The parameters in the model are calibrated to data from multiple sources. The thermodynamic equations of state used in the model are calibrated to a combination of thermochemical
Galen T. Craven, Joshua Finkelstein, Kirill A. Velizhanin, Stephen A. Andrews, Jeffery A. Leiding, Tariq D. Aslam, Matthew A. Price, Christopher Ticknor   +7 more
wiley   +1 more source