Results 41 to 50 of about 13,755 (295)

Shapeshifting Liquid Metal Droplets for Soft Fluidic Machines

Advanced Materials, EarlyView.
This study presented a liquid metal shape shifting strategy which harnesses Lorentz force, surface tension and fluid instabilities to achieve autonomous fluidic power. By using a liquid metal droplet as a mobile current carrier, this strategy enables the development of low‐voltage, self‐oscillating pumps that outperform existing soft pumps.
Saba Firouznia, Christian Romero, Hemma Philamore, Andrew Conn, Martin Garrad, Jonathan Rossiter   +5 more
wiley   +1 more source

An Improved Adaptive Trust-Region Method for Unconstrained Optimization

Mathematical Modelling and Analysis, 2014
In this study, we propose a trust-region-based procedure to solve unconstrained optimization problems that take advantage of the nonmonotone technique to introduce an efficient adaptive radius strategy.
Hamid Esmaeili, Morteza Kimiaei
doaj   +1 more source

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
doaj   +1 more source

A Superlubricated Magnetically Steerable Microcatheter with Integrated Optical and Fluidic Channels

Advanced Robotics Research, EarlyView.
A magnetically steerable microcatheter with integrated optical and fluidic channels is developed for multifunctional navigation in tortuous anatomical environments. A surface‐grafted hydrogel coating enables low‐friction actuation. The device demonstrates stable light and fluid delivery during magnetic manipulation, offering a compact platform for ...
Yuntian Du, Ruokun He, Luqi Li, Hesheng Wang, Zhuo‐Chen Ma, Bing Han   +5 more
wiley   +1 more source

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, Yi Wang, Linquan Bai, Yinlong Hu, Denis Sidorov, Daniil Panasetsky   +5 more
doaj   +1 more source

Data-Driven Method for Missing Harmonic Data Completion

IEEE Access, 2021
In large-scale applications, missing harmonic data during transmission is inevitable. This paper presents a novel approach for the completion of missing harmonic data based on a data-driven approach.
Rui Xu, Xiaoyang Ma, Runze Zhou, Jinshuai Zhao, Ying Wang   +4 more
doaj   +1 more source

Painting Peptides With Antimicrobial Potency Through Deep Reinforcement Learning

Advanced Science, EarlyView.
AMPainter is a powerful design model for ’painting’ the antimicrobial potency on any given peptide sequence, based on the strategy of virtual directed evolution and deep reinforcement learning. Abstract In the post‐antibiotic era, antimicrobial peptides (AMPs) are considered ideal drug candidates because of their lower likelihood of inducing resistance.
Ruihan Dong, Qiushi Cao, Chen Song
wiley   +1 more source

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

Dynamic Neural Deactivation Bridges Direct and Competitive Inhibition Processes

Advanced Science, EarlyView.
Dynamic neural deactivation bridges traditionally distinct inhibitory mechanisms—direct inhibition and competition‐induced inhibition—revealing a common neural signature across modalities. Multimodal neuroimaging and behavioral experiments demonstrate a temporal dynamic characterized by progressive frontoparietal activation decay and enhanced sensory ...
Zhenhong He, Yifan Du, Ziqi Fu, Youcun Zheng, Nils Muhlert, Barbara Sahakian, Rebecca Elliott   +6 more
wiley   +1 more source

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
doaj   +1 more source