Results 51 to 60 of about 1,977,959 (288)
Advanced Materials Interfaces, EarlyView.This review outlines critical engineering design rules for building artificial protective coatings on next‐generation lithium metal and silicon battery anodes. It highlights how balancing structural flexibility with strict electronic and ionic transport limits prevents early battery failure.
Surin Gupte, Vilas G. Pol
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Advanced Materials Interfaces, EarlyView.LiTa2PO8 (LTPO) suffers from high interfacial resistance when paired with Li metal due to poor solid‐solid contact. Coating LTPO with an ionic liquid (IL) markedly improves interfacial stability, maintaining favorable resistance up to 2000 cycles. However, contact between IL‐coated LTPO and Li metal induces discoloration of LTPO, which is attributed to
Mizuki Fukuda +5 more
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Parameter Estimation of Electromechanical Oscillation Based on a Constrained EKF with C&I-PSO
Energies, 2018 By combining together the extended Kalman filter with a newly developed C&I particle swarm optimization algorithm (C&I-PSO), a novel estimation method is proposed for parameter estimation of electromechanical oscillation, in which critical ...
Yonghui Sun +5 more
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An Improved Chicken Swarm Optimization Algorithm and its Application in Robot Path Planning
IEEE Access, 2020 Chicken swarm optimization (CSO) algorithm is one of very effective intelligence optimization algorithms, which has good performance in solving global optimization problems (GOPs). However, the CSO algorithm performs relatively poorly in complex GOPs for
Ximing Liang, Dechang Kou, Long Wen
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Augmented Lagrangian Method for Finding Minimum Norm Solution to the Absolute Value Equation [PDF]
Iranian Journal of Numerical Analysis and Optimization, 2017 In this paper, we give an algorithm to compute the minimum 1-norm solution to the absolute value equation (AVE). The augmented Lagrangian method is investigated for solving this problems .
Saeed Ketabchi, Hossein Moosaei
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The Hybrid BFGS-CG Method in Solving Unconstrained Optimization Problems
Abstract and Applied Analysis, 2014 In solving large scale problems, the quasi-Newton method is known as the most efficient method in solving unconstrained optimization problems. Hence, a new hybrid method, known as the BFGS-CG method, has been created based on these properties, combining ...
Mohd Asrul Hery Ibrahim +2 more
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HUBO formulations for solving the eigenvalue problem
Results in Control and Optimization, 2023 Solving the eigenvalue problem is particularly important in almost all fields of science and engineering. With the development of quantum computers, multiple algorithms have been proposed for this purpose.
Kyungtaek Jun, Hyunju Lee
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Recent Advances in Light‐Addressable Electrochemistry for Spatially Resolved Applications
Advanced Materials Technologies, EarlyView.This comprehensive review highlights light‐addressable electrochemistry as a powerful tool that uses light to control localized chemical reactions on unstructured semiconductor surfaces. The work evaluates advanced strategies to optimize electrode materials for enhanced spatial resolution and stability. Furthermore, it showcases diverse applications in
Nhi Trang Vo +2 more
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Journal of MathematicsThis paper defines a strong convertible nonconvex (SCN) function for solving the unconstrained optimization problems with the nonconvex or nonsmooth (nondifferentiable) function.
Min Jiang +3 more
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Кібернетика та комп'ютерні технологіїIntroduction. Methods of unconstrained optimization play a significant role in machine learning [1–6]. When solving practical problems in machine learning, such as tuning nonlinear regression models, the extremum point of the chosen optimality criterion ...
Viktor Zadachyn
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