Results 91 to 100 of about 254,846 (297)

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Mitochondrial Enzymes Mimetic Ultrasmall Palladium Nanozymes Prevent Senescence and Neurodegeneration Through Metabolic Reprogramming

Advanced Science, EarlyView.
Simply constructed polyvinylpyrrolidone (PVP) modified palladium nanoparticles (PdP NPs) as cytochrome c oxidase (CcO) and superoxide dismutase (SOD) mimic are promising multifunctional nanoreactors to boost mitochondrial respiration chain function and refine homeostasis via regulation of mitochondrial dynamics and proteostasis sensor UPRmt, which ...
Wenshu Cong, Haiming Jing, Zinan Li, Wenjing Zhang, Nan Zhang, Yingqiu Xie, Shan Gao, Yuanyu Huang, Junyu Ning   +8 more
wiley   +1 more source

Implementation of Efficient Multilayer Perceptron ANN Neurons on Field Programmable Gate Array Chip [PDF]

, 2014
Artificial Neural Network is widely used to learn data from systems for different types of applications. The capability of different types of Integrated Circuit (IC) based ANN structures also depends on the hardware backbone used for their implementation.
Adetiba, E., Daramola, S. A., Ibikunle, Frank A., Olajide, A. T   +3 more
core  

A neural network-based framework for financial model calibration

, 2019
A data-driven approach called CaNN (Calibration Neural Network) is proposed to calibrate financial asset price models using an Artificial Neural Network (ANN).
Borovykh, Anastasia, Grzelak, Lech A., Liu, Shuaiqiang, Oosterlee, Cornelis W.   +3 more
core   +1 more source

Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design

Advanced Science, EarlyView.
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang, Depeng Kong, Zhiao He, Jikai Liang, Yuyao Lu, Zikang Deng, Honghe Li, Mengke Wang, M. Jamal Deen, Zhiqiu Ye, Shuyao Zhou, Huayong Yang, Honghao Lyu, Jun Chen, Kaichen Xu, Geng Yang   +15 more
wiley   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Early tube leak detection system for steam boiler at KEV power plant

MATEC Web of Conferences, 2016
Tube leakage in boilers has been a major contribution to trips which eventually leads to power plant shut downs. Training of network and developing artificial neural network (ANN) models are essential in fault detection in critically large systems.
Ismail Firas B., Singh Deshvin, Maisurah N., Musa Abu Bakar B.   +3 more
doaj   +1 more source

House Price Prediction: Hedonic Price Model vs. Artificial Neural Network [PDF]

The objective of this paper is to empirically compare the predictive power of the hedonic model with an artificial neural network model on house price prediction.
Limsombunchai, Visit
core   +1 more source

Time-of-flight discrimination between gamma-rays and neutrons by neural networks

, 2012
In gamma-ray spectroscopy, a number of neutrons are emitted from the nuclei together with the gamma-rays and these neutrons influence gamma-ray spectra.
Akkoyun, Serkan
core   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source