Results 261 to 270 of about 3,729,724 (366)

Data‐Driven Design of Bimodal Networked Dielectric Elastomers for High‐Performance Artificial Muscles

Advanced Intelligent Systems, EarlyView.
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov, Hanzhi Ma, Junbo Peng, Huifeng Dong, Jiangshan Zhuo, Mengke Shi, Lvting Wang, Shengchao Jiang, Ye Shi   +8 more
wiley   +1 more source

Quasisymmetries of finitely ramified Julia sets. [PDF]

Math Ann
Belk J, Forrest B.
europepmc   +1 more source

Feature Disentangling and Combination Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions

Advanced Intelligent Systems, EarlyView.
Spin–orbit torque magnetic tunnel junctions (SOT‐MTJs) enable efficient feature disentangling and integration in image data. A proposed algorithm leverages SOT‐MTJs as true random number generators to disentangle and recombine features in real time, with experimental validation on emoji and facial datasets.
Xiaohan Li, Yingqian Xu, Caihua Wan, Ran Zhang, Meike Hindenberg, Raik Hoffmann, Shiqiang Liu, Tianyi Zhang, Shilong Xiong, Dehao Kong, Jihao Xia, Fangshuo Gao, Zhuyang Nie, Thomas Kämpfe, Guoqiang Yu, Xiufeng Han   +15 more
wiley   +1 more source

Direct Products for the Hamiltonian Density Property. [PDF]

J Geom Anal
Andrist RB, Huang G.
europepmc   +1 more source

Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model

Advanced Intelligent Systems, EarlyView.
This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi, Ahsan Tanveer, Rahdar Hussain Afridi, Muhammad Hamza, Mingxin Wu, Liang Li, Guangming Xie   +6 more
wiley   +1 more source

High-frequency characteristics analysis and optimization of coaxial-like TGVs. [PDF]

Sci Rep
Chen S, Wang J, Liu X, Wu X, Liu J, Xia D.   +5 more
europepmc   +1 more source

A Neural Network‐Based Self‐Sensing Embedded Position Control System for Shape Memory Alloy Wire Actuators

Advanced Intelligent Systems, EarlyView.
Shape memory alloy wires exhibit thermally induced phase changes that generate actuation strain and resistance variations enabling self‐sensing. However, hysteretic electromechanical behavior complicates accurate state estimation. This paper presents an artificial in‐based self‐sensing method to reconstruct SMA actuator position in real time, achieving
Krunal Koshiya, Gianluca Rizzello, Paul Motzki   +2 more
wiley   +1 more source

Analysis and prediction of hydrogen relative permeability in underground storage systems using machine learning. [PDF]

Sci Rep
Amjadi A, Kord S.
europepmc   +1 more source

A note on Lyapunov constants of polynomial systems

, 2016
Pedro Pablo Cárdenas Álzate, José Gerardo Cardona Toro, Luz María Rojas Duque   +2 more
openalex   +1 more source

Numerical Optimization of a Hybrid Cooling System for Lithium‐Ion Battery Packs: PCM‐Assisted and Liquid Cooling Integration

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study proposes a hybrid cooling system design that constructs a phase change material (PCM) filled layer between a liquid cooling jacket and cylindrical battery cells, combining the advantages of efficient liquid cooling and passive temperature control from PCM. The system performance was optimized through numerical simulation.
Yuanyuan Ren, Baozhan Lv, Long Zhou, Zonghui Ran   +3 more
wiley   +1 more source