Results 61 to 70 of about 1,001,378 (328)
In order to achieve fast and accurate life damage online monitoring of the steam turbine rotor, it was significant to propose an empirical-statistical model using a machine learning algorithm instead of finite element simulation to improve the effect of ...
Wenhe Liu +8 more
doaj +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley +1 more source
This paper analyzes the random fluctuations obtained by a heterogeneous multi-scale first-order finite element method applied to solve elliptic equations with a random potential.
Bal, Guillaume, Jing, Wenjia
core +1 more source
Ferroelectricity in thin HfO2‐based films offers great possibilities for next‐generation neuromorphic memory devices. There, the response to subcoercive voltage signals is driven by the movement of mobile interfaces and their interaction with crystal defects – a yet rather unexplored aspect, which we shed light on and gain new insights into the complex
Maximilian T. Becker +11 more
wiley +1 more source
Stochastic Finite Element Simulation of Uncertain Structures Subjected to Earthquake
In present study, the stochastic finite element simulation based on the efficient Neumann expansion technique is extended for the analysis of uncertain structures under seismically induced random ground motion.
Subrata Chakraborty, Santi Sekhar Dey
doaj +1 more source
Efficient Spectral Stochastic Finite Element Methods for Helmholtz Equations with Random Inputs
Summary: The implementation of spectral stochastic Galerkin finite element approximation methods for Helmholtz equations with random inputs is considered. The corresponding linear systems have matrices represented as Kronecker products. The sparsity of such matrices is analysed and a mean-based preconditioner is constructed. Numerical examples show the
Wang, Guanjie, Liao, Qifeng
openaire +2 more sources
A chiral photodetector capable of selectively distinguishing left‐ and right‐handed circularly polarized light is experimentally demonstrated. The device, which features a nanopatterned electrode inverse‐designed by a genetic algorithm within a metal–dielectric–metal nanocavity that incorporates a vacuum‐deposited small‐molecule multilayer, exhibits ...
Kyung Ryoul Park +3 more
wiley +1 more source
In structural stochastic dynamic analysis, the consideration of the randomness in the physical parameters of the structure necessitates the establishment of numerous stochastic finite element models and the subsequent computation of their corresponding ...
Hongfei Cao +4 more
doaj +1 more source
Dynamics of random coupled structures through the wave finite element method [PDF]
Purpose – The purpose of this paper is to develop a new formulation using spectral approach, which can predict the wave behavior to uncertain parameters in mid and high frequencies. Design/methodology/approach – The work presented is based on a hybridization of a ...
Souf, Mohamed Amine +4 more
openaire +2 more sources

