Results 191 to 200 of about 1,481 (212)

Electrochemical Behavior of Flame‐Sprayed Sc‐Doped AlCoCrFeMo High‐Entropy Alloy Coatings in 3.5% Sodium Chloride Solution

Advanced Engineering Materials, EarlyView.
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar, Akash Vyas, Mohammad Aatif Qazi, Nashit Jalal, Maria Ophelia Jarligo, Mostafa Yakout, Jing Liu, André McDonald   +7 more
wiley   +1 more source

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

Advanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut, Pierre Le Berre, Hamdi Jaballah, Lukas Fink, Victor Poline, Richard Haettel, Stéphane Grenier, Gilbert Chahine, Ewen Bellec, Guillaume Buatier, Wilfried Hortschitz, Santa Pile, Thomas Schrefl, Nils Blanc, Yuan Hong, Thibaut Devillers, Nora M. Dempsey   +16 more
wiley   +1 more source

Encyclopedia of 2D β′‐In2Se3 Growth Using Chemical Vapor Deposition: The Effects of Synthesis Parameters Onto Material Quality

Advanced Engineering Materials, EarlyView.
A distinct semi‐confined inner‐tube chemical vapor deposition geometry enables reproducible, large‐area growth of phase‐pure 2D β′‐In2Se3 from InI + Se precursors. Engineering local vapor transport and optimizing precursor delivery and temperature–time conditions yield uniform continuous films.
Dasun P. W. Guruge, P. Sanju S. Panawala, Joseph F. S. Fernando, Zhenhuan Chen, Chao Zhang, Dong‐Chen Qi, Liangzhi Kou, Konstantin L. Firestein, Dmitri V. Golberg   +8 more
wiley   +1 more source

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On the globalization of Wilson-type optimization methods by means of generalized reduced gradient methods

Computing, 1986
For solving nonlinear optimization problems, i.e. for the determination of Kuhn-Tucker points a numerical method is proposed. The considerations continue investigations of \textit{M. Best}, \textit{J. Bräuninger}, \textit{K. Ritter} and \textit{S. Robinson} [ibid. 26, 141-153 (1981; Zbl 0458.65053)] and \textit{H. Kleinmichel}, \textit{C.
V. S. Ishutkin, K. Schönefeld
openaire   +1 more source

Large Scale Nonlinear Programming Using The Generalized Reduced Gradient Method

Journal of Mechanical Design, 1980
In the past two decades nonlinear programming has matured a great deal. Today many design methodologies are employing some type of automated optimization to assist their design evaluation process.
K M Ragsdell, Ragsdell K M
exaly   +1 more source

Inexact Reduced Gradient Methods in Nonconvex Optimization

Journal of Optimization Theory and Applications, 2023
Pham Duy Khanh, Boris S Mordukhovich, Dat Ba Tran   +2 more
exaly  

Stochastic Variance Reduced Gradient Methods Using a Trust-Region-Like Scheme

Journal of Scientific Computing, 2021
Tengteng Yu, Xin-Wei Liu, Yu-Hong Dai
exaly  

Accelerating variance-reduced stochastic gradient methods

Mathematical Programming, 2020
Derek Driggs, Matthias J Ehrhardt, Carola-Bibiane Schönlieb   +2 more
exaly  

Uncertainty-aware optimal dispatch of building thermal storage portfolios via smoothed variance-reduced accelerated gradient methods

Journal of Energy Storage, 2022
Min Gyung Yu, Gregory S Pavlak, Uday V Shanbhag   +2 more
exaly  

Approximation to Stochastic Variance Reduced Gradient Langevin Dynamics by Stochastic Delay Differential Equations

Applied Mathematics and Optimization, 2022
Lihu Xu
exaly