Results 91 to 100 of about 1,546 (231)
Abstract We study how acquisition‐related foreign direct investment during economic crises affects R&D investments and the direction of innovation of target firms, compared with acquisitions made during periods of strong economic growth. Using a panel of Spanish firms, we find that foreign multinationals cherry‐pick the best domestic firms ...
María García‐Vega +2 more
wiley +1 more source
Stochastic Collocation Methods via $\ell_1$ Minimization Using Randomized Quadratures
25 pages, 8 ...
Ling Guo +3 more
openaire +2 more sources
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
ABSTRACT European countries have experienced significant transformations in their urban populations, with a resurgence of the residential segregation challenges. Yet, empirical analyses focusing on spatial dynamics within urban areas and between the main urban places, along with the changes in demographic profiles of populations, remain rare. The study
Francesca Bitonti +3 more
wiley +1 more source
Solving Stochastic Collocation Systems with Algebraic Multigrid
Stochastic collocation methods facilitate the numerical solution of partial differential equations (PDEs) with random data and give rise to long sequences of similar discrete linear systems.
Powell, Catherine; id_orcid +5 more
core +1 more source
Respiratory Organ‐on‐a‐Chip for Disease Modeling: From Architecture to Functional Integration
Respiratory organ‐on‐a‐chip (ROC) models capture key mechanical and cellular cues of the human respiratory system, enabling quantitative dissection of disease mechanisms. This review links ROC architectures to disease modeling, functional integration, and commercialization, and proposes a decision framework that aligns model complexity with mechanistic
Jinzhuo Hu +4 more
wiley +1 more source
Meshfree methods based on radial basis functions (RBFs) are popular tools for the numerical solution of parabolic stochastic partial differential equations (PSPDEs).
Mohsen Esmaeilbeigi +2 more
doaj
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang +4 more
wiley +1 more source
A spectral collocation method for solving stochastic fractional integro-differential equation [PDF]
In this paper, a numerical scheme based on shifted Vieta-Lucas polynomials is utilised to solve mentioned equation. The main characteristic of the presented method is to approximate Brownian motion with help of the Gauss-Legendre quadrature, which ...
Mahsa Zaboli, Haleh Tajadodi
doaj +1 more source
Numerical simulation of a Reverberation Chamber with a stochastic collocation method
An original numerical modelling of Mode Stirred Reverberation Chamber used in Electromagnetic Compatibility is proposed. This method relies on an analogy between a reverberation chamber and an enclosure whose walls' conductivity is randomly characterised. The distribution law of this parameter is obtained by measurements.
Pierre Bonnet +5 more
openaire +1 more source

