Results 41 to 50 of about 8,042 (262)
The KdV equation has special significance as it describes various physical phenomena. In this paper, we use two methods, namely, a variational homotopy perturbation method and a classical finite-difference method, to solve 1D and 2D KdV equations with ...
Abey Sherif Kelil, Appanah Rao Appadu
doaj +1 more source
An approach for reliability-based sensitivity analysis based on saddlepoint approximation
Reliability-based sensitivity analysis quantifies the effects of input random variables on model outputs. It is an integral part of reliability-based design and robust optimal design.
Hao Lu, Gang Shen, Zhencai Zhu
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The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
On the Cauchy problem of a degenerate parabolic-hyperbolic PDE with Lévy noise
In this article, we deal with the stochastic perturbation of degenerate parabolic partial differential equations (PDEs). The particular emphasis is on analyzing the effects of a multiplicative Lévy noise on such problems and on establishing a well ...
Biswas Imran H. +2 more
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Some Reliability Issues of the Corrugated I-Beam Girder
The main aim of this paper is reliability analysis of the corrugated-web I-girder carried out to verify its susceptibility to the random corrosion of the web and to make a comparison of the results of the first and of the second order reliability ...
Damian SOKOŁOWSKI +1 more
doaj +1 more source
On application of the Stochastic Finite Volume Method in Navier-Stokes problems
The main aim of this article is numerical solution of the fully coupled Navier-Stokes equations with Gaussian random parameters. It is provided thanks to the specially adopted Finite Volume Method, modified using the generalized stochastic perturbation ...
Rafał Leszek Ossowski, Marcin Kamiński
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Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
The bending fatigue reliability of gear teeth has been analyzed by perturbation stochastic meshless point interpolation method(PSMPIM).In the meshless point interpolation method the problem domain is represented by properly scattered points.A technique ...
游世辉 +3 more
doaj
Gradient based stochastic mutation operators in evolutionary multi-objective optimization
Evolutionary algorithms have been adequately applied in solving single and multi-objective optimization problems. In the single-objective case various studies have shown the usefulness of combining gradient based classical search principles with ...
Shukla, Pradyumn Kumar
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