Results 171 to 180 of about 23,327 (265)

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

Quadratic Subproduct Systems, Free Products, and Their C*-Algebras. [PDF]

Integr Equ Oper Theory
Arici F, Ge Y.
europepmc   +1 more source

Opening the Black Box of Sustainable Investing: Examining the Impact of Psychological Distance

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the effects of psychological distance on investors' reaction to sustainability controversies. Based on two stated choice experiments among 142 German and 136 French student participants, we find evidence that respondents react more strongly to controversies which are perceived as less distant in social, spatial, or ...
Philipp Kleffel, Ralf Barkemeyer, Matthias Muck, Sebastian Gundler   +3 more
wiley   +1 more source

Robust point cloud lightweighting with multi-scale adaptive filtering and entropy-driven subdivision. [PDF]

PLoS One
Zeng W, Gao X, Lu Q, Zhu N, Li M, Cai W.
europepmc   +1 more source

Coupling Fluid Neutrals to Gyrokinetic Plasma Dynamics for Edge and SOL Turbulence Simulations

Contributions to Plasma Physics, EarlyView.
ABSTRACT Accurate modeling of turbulent transport in magnetic confinement fusion devices requires extending first‐principles gyrokinetic simulations from the core to the edge and scrape‐off layer (SOL), where additional physics—particularly plasma–neutrals interactions—must be included.
Sabine Ogier‐Collin, Philipp Ulbl, Wladimir Zholobenko, Frank Jenko   +3 more
wiley   +1 more source

A Physics-Informed Neural Network Scheme for Shortcuts to Adiabaticity in Three-Level Non-Hermitian Quantum Systems. [PDF]

Entropy (Basel)
Liu M, Huang F, Zhang S, Yang F, Zhao W, Liu J, Li H.   +6 more
europepmc   +1 more source

The failure of the Ehlers-Kundt conjecture in the impulsive case. [PDF]

Gen Relativ Gravit
Frauenberger ML, Grant JDE, Steinbauer R.   +2 more
europepmc   +1 more source

Complex Versus Parsimonious Site‐Based Stochastic Ground Motion Models: Which One Is Better?

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Stochastic ground motion models (GMMs) provide a probabilistic representation of seismic input and are increasingly important for uncertainty quantification (UQ) in earthquake engineering. This study focuses on site‐based stochastic GMMs, which learn the statistical features of selected datasets of seismic records and generate statistically ...
Maijia Su, Mayssa Dabaghi, Marco Broccardo   +2 more
wiley   +1 more source

Reconfigurable Transmission Design for PASS-MIMO via Waveguide Indexing. [PDF]

Sensors (Basel)
Wang Y, Yang S, Peng J.
europepmc   +1 more source

Effects of Camber of S‐Series Airfoils on Aerodynamic Performance, Entropy Generation Rate, Irreversibility, and Second Law Efficiency of Horizontal Axis Wind Turbines

Energy Science &Engineering, EarlyView.
Due to the depletion of fossil fuels, enhancing wind turbine efficiency is crucial. Utilizing airfoils with high lift‐to‐drag ratios significantly improves power generation by optimizing aerodynamic parameters. Furthermore, entropy generation analysis serves as an effective method for design optimization by minimizing energy losses and exergy ...
Mitra Yadegari
wiley   +1 more source