Results 91 to 100 of about 51,229 (231)

The Future of Foundation Machine Learning Potentials and DFT in Homogeneous Catalysis: Competition or Synergy?

open access: yesChemistry – A European Journal, EarlyView.
Machine‐learning potentials are increasingly taking on the exploratory tasks of homogeneous catalysis, enabling rapid conformer sampling and reaction‐space mapping. However, when selectivity depends on subtle electronic effects, electronic‐structure methods remain essential.
Maxime Ferrer   +3 more
wiley   +1 more source

The Filament Extension Atomization Process for Powder Production of Elastic Fluids

open access: yesChemie Ingenieur Technik, EarlyView.
Filament extension atomization is a promising technique for spraying a wide range of materials, enabling narrow droplet size distributions. This study examines the behavior of various fluids and suspensions to define application limits and identify optimal operating conditions.
Moritz Neukötter   +4 more
wiley   +1 more source

Optimal model‐based design of experiments for parameter precision: Supercritical extraction case

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the process of chamomile oil extraction from flowers. A parameter‐distributed model consisting of a set of partial differential equations is used to describe the governing mass transfer phenomena in a cylindrical packed bed with solid chamomile particles under supercritical conditions using carbon dioxide as a solvent ...
Oliwer Sliczniuk, Pekka Oinas
wiley   +1 more source

Restricted Tweedie stochastic block models

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley   +1 more source

On subset least squares estimation and prediction in vector autoregressive models with exogenous variables

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne   +2 more
wiley   +1 more source

Bayesian inverse ensemble forecasting for COVID‐19

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley   +1 more source

A partial envelope approach for modelling multivariate spatial‐temporal data

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja   +3 more
wiley   +1 more source

The Benjamin–Ono Equation in the Zero‐Dispersion Limit for Rational Initial Data: Generation of Dispersive Shock Waves

open access: yesCommunications on Pure and Applied Mathematics, EarlyView.
ABSTRACT The leading‐order asymptotic behavior of the solution of the Cauchy initial‐value problem for the Benjamin–Ono equation in L2(R)$L^2(\mathbb {R})$ is obtained explicitly for generic rational initial data u0$u_0$. An explicit asymptotic wave profile uZD(t,x;ε)$u^\mathrm{ZD}(t,x;\epsilon)$ is given, in terms of the branches of the multivalued ...
Elliot Blackstone   +3 more
wiley   +1 more source

To What Extent Does ESG Performance Influence Board Engagement in Acquisition Activity?

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the relationship between boards and corporate acquisition activity. Specifically, we posit that boards with directors who have been politicians positively influence the propensity to pursue acquisitions and that ESG performance (divided into environmental, social, and governance scores) moderates this relationship.
Leticia Pérez‐Calero   +4 more
wiley   +1 more source

Mapping the Intellectual and Industrial Evolution of Corporate Social Responsibility: A Cross‐Sector Scientometric Analysis Using Main Path and Cluster Methods

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Corporate social responsibility (CSR) has undergone continuous expansion across industries, yet its intellectual evolution and cross‐sectoral linkages remain insufficiently understood. This study provides a comprehensive, data‐driven assessment of CSR's developmental trajectories by analyzing 3314 Web of Science articles using key‐route main ...
Wei‐Hao Su   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy