Results 51 to 60 of about 581 (190)

Programmable Multifunctional Bistable Structures for Energy Transfer and Dissipation

Advanced Science, EarlyView.
Utilizing the energy conversion characteristics of asymmetric bistable beams, this study develops a programmable multifunctional system composed of multiple bistable beams for energy transfer and dissipation. The high energy density enables the system to demonstrate potential in transient scenarios such as target delivery and shock absorption ...
Xin Na, Jincong Zhang, Zhicheng Chen, Venkatarao Selamneni, Haotian Chen, Hadi Heidari, Morteza Amjadi   +6 more
wiley   +1 more source

Neural Network‐Based Permittivity Engineering of Magnetic Absorbers for Customizable Microwave Absorption

Advanced Science, EarlyView.
A neural network‐enabled permittivity engineering paradigm is introduced, transcending traditional trial‐and‐error design. By decoupling electromagnetic parameters and screening a high‐throughput feature space, an ultrathin (1.0 mm) magnetic absorber is inversely designed, experimentally achieving a superior and customizable 5.1 GHz bandwidth and ...
Chenxi Liu, Jinzhe Li, Sen Li, Zhongqiu Guo, Yao Chen, Tian Li, Renchi Qin, Jiaxu Sun, Yongxi Lu, Fanbin Meng   +9 more
wiley   +1 more source

High Speed VLSI Implementation of the Hyperbolic Tangent Sigmoid Function [PDF]

2008 Third International Conference on Convergence and Hybrid Information Technology, 2008
The hyperbolic tangent function is commonly used as the activation function in artificial neural networks. In this work two different hardware implementations for the hyperbolic tangent function are proposed. Both methods are based on the approximation of the function rather than calculating it, since it has exponential nature.
Karl Leboeuf, Ashkan Hosseinzadeh Namin, Roberto Muscedere, Huapeng Wu, Majid Ahmadi   +4 more
openaire   +1 more source

Enhancing Electrical Impedance Based Deformation Sensing with Dielectric Current Guide

Advanced Electronic Materials, EarlyView.
This work introduces a dielectric‐based field manipulation strategy for electrical impedance tomography in soft robotics. By using silicone as a passive electric field guide, improved deformation sensing accuracy and reduced interference are achieved without embedding conductive components.
Arsen Abdulali, David Hardman, Yue Xie, Fumiya Iida   +3 more
wiley   +1 more source

On Systems of Neural ODEs with Generalized Power Activation Functions

Journal of Optimization, Differential Equations and Their Applications
When constructing neural network-based models, it is common practice to use time-tested activation functions such as the hyperbolic tangent, the sigmoid or the ReLU functions. These choices, however, may be suboptimal.
Vasiliy Ye. Belozyorov, Yevhen V. Koshel
doaj   +1 more source

Boundary layer flow of MHD tangent hyperbolic nanofluid over a stretching sheet: A numerical investigation

Results in Physics, 2017
This article presents the two-dimensional flow of MHD hyperbolic tangent fluid with nanoparticles towards a stretching surface. The mathematical modelling of current flow analysis yields the nonlinear set of partial differential equations which then are ...
Mair Khan, Arif Hussain, M.Y. Malik, T. Salahuddin, Farzana Khan   +4 more
doaj   +1 more source

A DC Compact Model of an Organic Electrochemical Transistor Based on a Semiconductor Physics and Thermodynamic Approach

Advanced Electronic Materials, EarlyView.
This work presents a physics‐based DC compact model of an Organic Electrochemical Transistor (OECT) that takes into account the faradaic redox reaction in the above threshold regime and incorporates the diffusive current of the subthreshold regime based on semiconductor physics.
Ermias Telahun Teka, Yeohoon Yoon, Laura Teuerle, Tommy Meier, Hans Kleemann, Ghader Darbandy, Benjamin Iniguez   +6 more
wiley   +1 more source

A trust‐region funnel algorithm for gray‐box optimization

AIChE Journal, EarlyView.
Abstract Gray‐box optimization, where parts of optimization problems are represented by algebraic models while others are treated as black‐box models lacking analytic derivatives, remains a challenge. Trust‐region (TR) methods provide a robust framework for gray‐box problems through local reduced models (RMs) for black‐box components, but they are ...
Gul Hameed, Tao Chen, Antonio del Rio Chanona, Lorenz T. Biegler, Michael Short   +4 more
wiley   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source