Results 41 to 50 of about 1,546 (231)

A Novel Method for Solving Second Kind Volterra Integral Equations with Discontinuous Kernel

Mathematics, 2021
Load leveling problems and energy storage systems can be modeled in the form of Volterra integral equations (VIE) with a discontinuous kernel. The Lagrange–collocation method is applied for solving the problem. Proving a theorem, we discuss the precision
Samad Noeiaghdam, Sanda Micula
doaj   +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

Computing continuous-time growth models with boundary conditions via wavelets [PDF]

, 2004
This paper presents an algorithm for approximating the solution of deterministic/stochastic continuous-time growth models based on the Euler's equation and the transversality conditions.
Mercedes Esteban-bravo, Jose M. Vidal-sanz, Vidal-Sanz, Jose M., Esteban-Bravo, Mercedes   +3 more
core  

A multilevel sparse kernel-based stochastic collocation finite element method for elliptic problems with random coefficients [PDF]

, 2018
A new stochastic collocation finite element method is proposed for the numerical solution of elliptic boundary value problems (BVP) with random coefficients, assuming that the randomness is well-approximated by a finite number of random variables with ...
Jeremy Levesley (7583984), Zhaonan Dong (7692026), Dong, Zhaonan, Fuat Usta (7644770), Emmanuil H. Georgoulis (7584863), Georgoulis, Emmanuil H., Levesley, Jeremy, Usta, Fuat   +7 more
core   +2 more sources

Topology‐Enriched Toughness Enhancement in Quasi‐Periodic Metastructures Featuring Tailorable Strong‐Weak Network

Advanced Science, EarlyView.
A quasi‐periodic Dart‐Kite (QDK) metastructure with a golden‐ratio‐constrained strong–weak bond network simultaneously enhances strength, toughness, and damage tolerance. Its distributed topology enables predictable, tailorable crack paths for precise fracture control and stable mechanics, demonstrating a high‐performance, controllable architecture ...
Tianyu Gao, Genda Wang, Jiabao Bai, Kai Liu   +3 more
wiley   +1 more source

A mixed-method to numerical simulation of variable order stochastic advection diffusion equations

Alexandria Engineering Journal
The study of stochastic problems is very important and there is an increasing demand for investigating the behavior of a number of sophisticated dynamical systems in different areas of science as well as in engineering and finance.
H. Jafari, R.M. Ganji, S. Salati, S.J. Johnston   +3 more
doaj   +1 more source

Radiation Transport in Random Media With Large Fluctuations

EPJ Web of Conferences, 2017
Neutral particle transport in media exhibiting large and complex material property spatial variation is modeled by representing cross sections as lognormal random functions of space and generated through a nonlinear memory-less transformation of a ...
Olson Aaron, Prinja Anil, Franke Brian
doaj   +1 more source

Parametric Transient Stability Constrained Optimal Power Flow Solved by Polynomial Approximation Based on the Stochastic Collocation Method

Energies, 2022
To better respond to the impact of power system-uncertain parameters on transient stability, a novel model named the parametric transient stability constrained optimal power flow (parametric TSCOPF) is proposed.
Bingqing Xia, Hao Wu, Wenbin Yang, Lu Cao, Yonghua Song   +4 more
doaj   +1 more source

Stochastic collocation and stochastic Galerkin methods for linear differential algebraic equations

Journal of Computational and Applied Mathematics, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source