Results 51 to 60 of about 91,586,058 (209)
ABSTRACT Synechococcus elongatus PCC 7942 is a widely used model cyanobacterium for diverse research fields and for bioproduction applications owing to its ease of cultivation, genetic modification, and ability to fix CO2. We found that a laboratory strain of S. elongatus PCC 7942 expressing the ydeH gene from E.
Chihiro C. Yamaguchi +3 more
wiley +1 more source
A Predictor-Corrector Methods for Mixed Inverse Variational Inequalities [PDF]
In this paper, a class of mixed inverse variational inequalities is introduced and studied. We prove the existence of the solution of the auxiliary problem for mixed inverse variational inequalities, suggest a predictor-corrector method for solving the ...
Shi, Chaofeng
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Incorporating AI to optimize solution, process, and environment enables efficient prediction of structural properties and performance, allowing tailoring of GDL, CL, and PEM fabrication to guide PEMFC toward 9.0 kW L‒1 by 2040. ABSTRACT The performance and commercial viability of proton exchange membrane fuel cells (PEMFCs) are constrained by key ...
Shangfeng Jiang +11 more
wiley +1 more source
Abstract This work presents a simplified extended‐batch adsorber analogue model (e‐BAAM) to quantify key performance metrics such as purity, recovery, and energy trends for various pressure swing adsorption (PSA) process cycles for CO2$$ {\mathrm{CO}}_2 $$ capture.
Gwyneth Liske, Arvind Rajendran
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Application of dynamic modelling and model‐based predictive control to enhance a cooling tower
Model predictive control (MPC) applied to improve the operation of cooling towers. Abstract Model predictive control (MPC) differs from traditional feedback control by making predictions within a time horizon, providing better control actions for the process.
Douglas de Almeida Giardini +4 more
wiley +1 more source
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu +8 more
wiley +1 more source
This study establishes a multi‐factor coupling framework for predicting breakdown pressure in laminated shale by integrating experimental hydraulic fracturing tests, physics‐informed neural networks (PINNs), and Sobol sensitivity analysis. It reveals how differential stress, the bedding dip angle, and the injection rate interact to influence fracture ...
Tao Wang +6 more
wiley +1 more source
Greedy Training Algorithms for Neural Networks and Applications to PDEs [PDF]
Recently, neural networks have been widely applied for solving partial differential equations (PDEs). Although such methods have been proven remarkably successful on practical engineering problems, they have not been shown, theoretically or empirically ...
Hong, Qingguo +4 more
core
The novelty of the current study is that the unsteady MHD Cross nanofluid model is, for the first time, coupled with the melting heat transfer at the stagnation point over a horizontally extended cylinder in a Darcy–Forchheimer porous medium. This work connects complex rheological behaviors and phase‐change phenomena in a unique way, with the only ...
Fahad Maqbul Alamrani +6 more
wiley +1 more source
Nonconforming finite-element discretization of convex variational problems [PDF]
The Lavrentiev gap phenomenon is a well-known effect in the calculus of variations, related to singularities of minimizers. In its presence, conforming finite-element methods are incapable of reaching the energy minimum.
Ortner, Christoph, C. Ortner
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