Results 41 to 50 of about 8,001 (254)

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, Mustafa Mamat, Wah June Leong   +2 more
doaj   +1 more source

Overcoming Interfacial Hurdles in Solid‐State Aluminum Batteries for Safe and Energy‐Dense Storage

Advanced Science, EarlyView.
Solid‐state aluminum batteries (SSABs) promise high energy density and intrinsic safety but face severe solid–solid interfacial challenges. This review reveals the three core hurdles—anode passivation, cathode contact loss, and electrolyte grain boundary resistance and discusses strategies including artificial interphases, alloying, and composite ...
Yunlei Wang, Xiaogang Zhang, Mingguang Wang, Yifan Wu, Shitao Dou, Taibin Wu   +5 more
wiley   +1 more source

From Folding Mechanics to Robotic Function: A Unified Modeling Framework for Compliant Origami

Advanced Science, EarlyView.
A geometry‐consistent DDG framework captures compliant origami deformation from rigid‐like folding to soft panel bending. By tuning crease and panel stiffness, bistable snap‐through responses transform into smooth monostable deformation, enabling programmable stability and robot‐scale locomotion.
Bohan Zhang, Bo Wang, Huajiang Ouyang, Zhigang Wu, Haohao Bi, Jiawei Xu, Mingchao Liu, Weicheng Huang   +7 more
wiley   +1 more source

An Approximate Quasi-Newton Bundle-Type Method for Nonsmooth Optimization

Abstract and Applied Analysis, 2013
An implementable algorithm for solving a nonsmooth convex optimization problem is proposed by combining Moreau-Yosida regularization and bundle and quasi-Newton ideas. In contrast with quasi-Newton bundle methods of Mifflin et al.
Jie Shen, Li-Ping Pang, Dan Li
doaj   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Towards Advanced Intelligent and Perceptive Soft Grippers

Advanced Intelligent Systems, EarlyView.
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim, Hayeon Shin, Seik Park, Changbeom Shim, Seonggun Joe   +4 more
wiley   +1 more source

Adaptive Collision Sensitivity for Efficient and Safe Human–Robot Collaboration

Advanced Intelligent Systems, EarlyView.
An adaptive collision‐sensitivity framework uses each robot link's effective mass to estimate contact forces online and decide when collaborative robots should stop or continue. Tested on simulated and real UR10e and simulated KUKA arms, it maintains conservative force estimates while reducing unnecessary stops and increasing task productivity. What is
Lukas Rustler, Matej Misar, Matej Hoffmann   +2 more
wiley   +1 more source

Radiative Hybrid Nanofluid Flow Over a Porous Riga Surface: A Fuzzy–ANN Modeling Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study proposes a fuzzy–ANN model to investigate the nonlinear thermal transport in a tangent hyperbolic (Tanh) hybrid nanofluid flow past a porous Riga surface, considering the effects of Rosseland diffusion, chemical reactions, and internal volumetric heating.
Azad Hussain, Rabia Zetoon, Reeha Iqbal
wiley   +1 more source

Cooling Holes in Polymer Spur Gears: A Critical Analysis of Heat Dissipation Benefits and Mesh Stiffness Penalties

Journal of Applied Polymer Science, EarlyView.
Cooling holes provide a simple passive cooling strategy for polymer spur gears, reducing maximum operating temperature by up to 9.39% while introducing a measurable gear mesh stiffness penalty. A validated response‐surface model reveals how hole size and location govern this thermal–mechanical trade‐off, enabling design optimization for thermally and ...
Abderrahim Baccar, Ahmed Samet, Ahmed Hammami, Nuno Dourado, Ali Akrout, Mohamed Haddar   +5 more
wiley   +1 more source

ROBUST QUASI-NEWTON EQUATIONS IN QUASI-NEWTON METHOD FOR SOLVING UNCONSTRAINED OPTIMIZATION PROBLEMS

Barekeng
Quasi-Newton methods are among the most widely used and effective general-purpose algorithms for unconstrained optimization. These methods traditionally rely on the quasi-Newton equation, which serves as the foundation for updating approximations of the
Basim A. Hassan, Manal I. Mohammed
doaj   +1 more source