Results 131 to 140 of about 2,420,336 (400)

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

ALD‐Assisted VO2 for Memristor Application

Advanced Engineering Materials, EarlyView.
This work demonstrates a strategy for depositing VOx using thermal atomic layer deposition (ALD) followed by thermal annealing to synthesize VO2. The thin film and core/shell wire memristors exhibit excellent switching performance and are highly sensitive to ambient temperature.
Jun Peng, Daniel Hensel, Rakshith Venugopal, Lucas Rave, Colin Schormann, Sebastian Koch, Robert H. Blick, Robert Zierold   +7 more
wiley   +1 more source

Electrically Insulating Electromagnetic Interference Shielding Materials: A Perspective

Advanced Functional Materials, EarlyView.
Developing electromagnetic interference (EMI) shielding materials with inherent electrical insulation and high EMI shielding effectiveness is challenging but important for electronic applications. This perspective summarizes the recent advancements in designing electrically insulating EMI shielding materials and discusses the underlying mechanisms of ...
Ji Liu, Valeria Nicolosi
wiley   +1 more source

Self-organizing neural networks in classification and image recognition [PDF]

arXiv, 2004
Self-organizing neural networks are used for brick finding in OPERA experiment. Self-organizing neural networks and wavelet analysis used for recognition and extraction of car numbers from images.
arxiv  

Artificial Neural Network [PDF]

, 2013
The long course of evolution has given the human brain many desirable characteristics not present in Von Neumann or modern parallel computers. These include massive parallelism, distributed representation and computation, learning ability, generalization
Gupta, Neha
core   +1 more source

CoCalc as a Learning Tool for Neural Network Simulation in the Special Course "Foundations of Mathematic Informatics"

, 2018
The role of neural network modeling in the learning content of the special course "Foundations of Mathematical Informatics" was discussed. The course was developed for the students of technical universities - future IT-specialists and directed to ...
Markova, Oksana, Popel, Maiia, Semerikov, Serhiy   +2 more
core   +1 more source

Direct Ink Writing of Conductive Hydrogels

Advanced Functional Materials, EarlyView.
This review examines the use of direct ink writing (DIW) for fabricating conductive hydrogels with customizable 3D structures. It outlines the rheological requirements for successful DIW, followed by an exploration of the materials and ink formulations used to impart electronic and/or ionic conductivity to hydrogels while maintaining printability ...
Monica Ho, Aline Braz Ramirez, Negar Akbarnia, Eric Croiset, Elisabeth Prince, Gerald G. Fuller, Milad Kamkar   +6 more
wiley   +1 more source

Biomimetic Design of Biocompatible Neural Probes for Deep Brain Signal Monitoring and Stimulation: Super Static Interface for Immune Response‐Enhanced Contact

Advanced Functional Materials, EarlyView.
Ultrathin, flexible neural probes are developed with an innovative, biomimetic design incorporating brain tissue‐compatible materials. The material system employs biomolecule‐based encapsulation agents to mitigate inflammatory responses, as demonstrated through comprehensive in vitro and in vivo studies.
Jeonghwa Jeong, Gyeonghwa Heo, Young Woo Kwon, Seon Yeong Chae, Min Jae Kim, Ki Jun Yu, Hwa Kyoung Shin, Suck Won Hong   +7 more
wiley   +1 more source

ANOMALY NETWORK INTRUSION DETECTION SYSTEM BASED ON DISTRIBUTED TIME-DELAY NEURAL NETWORK (DTDNN) [PDF]

Journal of Engineering Science and Technology, 2010
In this research, a hierarchical off-line anomaly network intrusion detection system based on Distributed Time-Delay Artificial Neural Network is introduced. This research aims to solve a hierarchical multi class problem in which the type of attack (DoS,
LAHEEB MOHAMMAD IBRAHIM
doaj