Results 61 to 70 of about 14,996 (301)
This work studies the anisotropic behavior of circular notched tensile specimens of Ni‐base superalloy single crystals during high‐temperature tensile creep along [001], [110], and [111]. Correlative scale‐bridging imaging of specimens reveals early rupture along [110] because 1) plastic deformation proceeds faster at notch center; 2) more (brittle ...
Leonardo Agudo Jácome +6 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
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
STOCHASTIC FINITE ELEMENT MODEL UPDATING BASED ON POLYNOMIAL CHAOTIC EXPANSION AND KL DIVERGENCE
Considering the influence of structural parameter uncertainty on response and the problem of large calculation of stochastic model updating, a stochastic finite element model updating method based on polynomial chaotic expansion and KL divergence is ...
XU ZeWei +3 more
doaj
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone +8 more
wiley +1 more source
A Modified Computational Scheme for the Stochastic Perturbation Finite Element Method
A modified computational scheme of the stochastic perturbation finite element method (SPFEM) is developed for structures with low-level uncertainties. The proposed scheme can provide second-order estimates of the mean and variance without differentiating
Feng Wu +3 more
doaj +1 more source
Ferroelectric domain variants that are energetically equivalent are expected to remain preserved during polarization reversal. However, phase‐field simulations reveal that inclined domain walls in relaxor ferroelectrics can undergo irreversible elimination during alternating current poling through a proximity effect driven by long‐range elastic ...
Yuan‐Jie Sun +2 more
wiley +1 more source
Higher order Perturbation Stochastic Finite Element Method of the Linear elastic Structure
:Computational precision and error control are very important to the numerical computation of the stochastic finite element method.Based on theory of random fields and perturbation finite element method,computational formulas of expected values and nth ...
廖光明, 陈兵, 王遂泸
doaj
Error estimates of finite element methods for fractional stochastic Navier–Stokes equations
Based on the Itô’s isometry and the properties of the solution operator defined by the Mittag-Leffler function, this paper gives a detailed numerical analysis of the finite element method for fractional stochastic Navier–Stokes equations driven by white ...
Xiaocui Li, Xiaoyuan Yang
doaj +1 more source
This article serves as a continuation of our previously published work and focuses on loose material transport via sandwich belt conveyors. Experimental, analytical, stochastic, and numerical approaches are used to obtain and utilize the moduli of a ...
Daniel Čepica +3 more
doaj +1 more source

