Results 151 to 160 of about 469 (264)

Dynamic Modeling and Simulation of Morphing Wing Aircraft Considering Rigid‐Elastic Coupling Effects

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT During the morphing process, the dynamic modeling of the morphing wing aircraft presents the characteristics of rigid‐elastic coupling effects, moving boundaries, and low computational efficiency. Meanwhile, parameters such as aerodynamic forces/moments, center of pressure, center of mass, and moment of inertia would also change significantly,
Xu Zha   +5 more
wiley   +1 more source

Elastoplasticity Informed Kolmogorov–Arnold Networks Using Chebyshev Polynomials

open access: yesInternational Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Multilayer perceptron (MLP) networks are predominantly used to develop data‐driven constitutive models for granular materials. They offer a compelling alternative to traditional physics‐based constitutive models in predicting non‐linear responses of these materials, for example, elastoplasticity, under various loading conditions. To attain the
Farinaz Mostajeran, Salah A. Faroughi
wiley   +1 more source

A pilot variational coupled reanalysis based on the CESAM climate model

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Variational data assimilation of in‐situ and satellite ocean data and reanalysis atmospheric data into an intermediate complexity Earth system model is possible by adjusting the surface fluxes and internal model parameters. This pilot application requires nearly complete information on the atmospheric state for synchronization.
Armin Köhl   +6 more
wiley   +1 more source

Point convolutional neural network algorithm for Ising model ground state research based on spring vibration. [PDF]

open access: yesSci Rep
Jiang Z   +10 more
europepmc   +1 more source

End‐to‐End Portfolio Optimization with Hybrid Quantum Annealing

open access: yesAdvanced Quantum Technologies, EarlyView.
This works presents a hybrid quantum‐classical framework for portfolio optimization that combines quantum assisted asset selection and rebalancing with classical weight allocation. The approach processes real market data, embeds it into Quadratic Unconstrained Binary Optimization formulations, and evaluates performance within a unified workflow ...
Sai Nandan Morapakula   +5 more
wiley   +1 more source

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