Results 111 to 120 of about 720 (188)

Integral Reinforcement Learning-Based Stochastic Guaranteed Cost Control for Time-Varying Systems with Asymmetric Saturation Actuators

Actuators
This study explores a stochastic guarantee cost control (GCC) for time-varying systems with random parameters and asymmetric saturation actuators by employing the integral reinforcement learning (IRL) method in the dynamic event-triggered (DET) mode ...
Yuling Liang, Mengjia Xie, Juan Zhang, Zhongyang Ming, Zhiyun Gao   +4 more
doaj   +1 more source

Modeling Transient Flow in Heterogeneous Aquifers With the Mixed Pressure‐Velocity Formulation of Physics Informed Neural Networks

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Physics‐Informed Neural Networks (PINNs) have emerged as a powerful framework for modeling groundwater flow using deep learning neural networks, particularly in scenarios where traditional data‐driven approaches are limited by the scarcity of data.
Adhish Virupaksha, Marwan Fahs, Hussein Hoteit, Thomas Nagel, François Lehmann   +4 more
wiley   +1 more source

Learning 2D Shallow Water Equations With Physics‐Informed Neural Operator Networks

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract This study investigates the application of Physics‐Informed Neural Operators (PINOs) for solving the two‐dimensional shallow water equations (2D SWE) in the context of flood modeling. Unlike Physics‐Informed Neural Networks (PINNs), which require retraining for each new initial or boundary condition (BC), PINOs learn the solution operator ...
Robert Keppler, Rasmus Fensholt, Julian Koch   +2 more
wiley   +1 more source

Heterogeneous Spillover Effects: How FDI in Resources Extraction, Manufacturing, and Services Affect Sectoral Carbon Emissions in the MENA Region

Natural Resources Forum, Volume 50, Issue 3, Page 1299-1319, August 2026.
ABSTRACT The MENA region faces a critical challenge: balancing economic growth spurred by foreign direct investment (FDI) with environmental sustainability. While FDI can bring technological advancements and capital, concerns exist about its potential to exacerbate environmental degradation, particularly carbon emissions.
Brahim Bergougui, Syed Mansoob Murshed
wiley   +1 more source

Climatic Niche Differentiation Accompanied the Radiation of Leaf‐Eared Mice in the Phyllotis darwini Species Group (Sigmodontinae, Cricetidae)

Journal of Biogeography, Volume 53, Issue 8, August 2026.
ABSTRACT Aim To characterise the evolution of climatic niches during the diversification of the Phyllotis darwini species group, in order to assess the extent to which divergences involved in radiation were associated with patterns of conservatism or divergence of climatic niches, and whether the differentiation found among climatic niches correlated ...
Marcial Quiroga‐Carmona, José H. Urquizo, Naim M. Bautista, Guillermo D'Elía, Jay F. Storz   +4 more
wiley   +1 more source

Goal-Oriented Error Estimation and Adaptivity for Stochastic Collocation FEM

SIAM/ASA Journal on Uncertainty Quantification
We propose and analyze a general goal-oriented adaptive strategy for approximating quantities of interest (QoIs) associated with solutions to linear elliptic partial differential equations with random inputs. The QoIs are represented by bounded linear or continuously Gâteaux differentiable nonlinear goal functionals, and the approximations are computed
Alex Bespalov, Dirk Praetorius, Thomas Round, Andrey Savinov   +3 more
openaire   +2 more sources

Deep Energy Method for Large Deformation Analysis of Isotropic and Inhomogeneous Hyperelastic Ellipsoidal Pressurized Structures

International Journal for Numerical Methods in Engineering, Volume 127, Issue 14, 30 July 2026.
ABSTRACT The accurate prediction of displacement and stress fields in pressure vessels is essential for the safe and reliable design of these structures, particularly when dealing with nonlinear behavior such as that of hyperelastic functionally graded materials (FGMs).
Nasser Firouzi, Shaofan Li, Timon Rabczuk   +2 more
wiley   +1 more source

A Strictly Geostrophic Product of Sea‐Surface Velocities From the SWOT Fast‐Sampling Phase

Geophysical Research Letters, Volume 53, Issue 14, 28 July 2026.
Abstract While geostrophy remains the simplest and most practical balance to extract velocity information from sea‐surface height anomaly (SSHa), confusions remain within the oceanographic community to what extent this balance can be applied to altimetric observations with the launch of the Surface Water and Ocean Topography (SWOT) satellite. Given the
Takaya Uchida, Badarvada Yadidya, Vadim Bertrand, Jia‐Xuan (Julia) Chang, Brian K. Arbic, Jay F. Shriver, Julien Le Sommer   +6 more
wiley   +1 more source

Sensitivity of East Asian Meso‐β‐Scale Convective Systems Identification to Microphysical Processes in a Convection‐Permitting Model

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 13, 16 July 2026.
Abstract Mesoscale convective systems (MCSs) are key contributors to heavy rainfall in the East Asian summer monsoon, yet their statistics and internal structure remain difficult to simulate, even in convection‐permitting models (CPMs). This study evaluates the performance of the newly developed Unified Forecast System Double‐Moment microphysics scheme
Taeho Mun, Dong‐Hyun Cha, Song‐You Hong, Jimy Dudhia   +3 more
wiley   +1 more source

An RBF-LOD Method for Solving Stochastic Diffusion Equations

Journal of Mathematics
In this study, we introduce an innovative approach to solving stochastic equations in two and three dimensions, leveraging a time-splitting strategy. Our method combines radial basis function (RBF) spatial discretization with the Crank–Nicolson scheme ...
Samaneh Mokhtari, Ali Mesforush, Reza Mokhtari, Rahman Akbari   +3 more
doaj   +1 more source