Results 101 to 110 of about 8,540,747 (378)
Machine Learning‐Assisted Simulations and Predictions for Battery Interfaces
Advanced Intelligent Systems, EarlyView.This review summarizes machine learning (ML)‐assisted simulations and predictions at battery interfaces. It highlights how employing ML algorithms with machine vision, enables the lithium dendrite growth simulation, the solid–electrolyte interphase formation, and other interfacial dynamics.
Zhaojun Sun +4 more
wiley +1 more source
Electronic Journal of Differential Equations, 2020 In this article, we consider a nonlocal problem for hyperbolic equation with integral conditions and show their close connection with the notion of strongly regular boundary conditions.
Ludmila S. Pulkina
doaj
Nonlinear Analysis, 2009 In this paper the eigenvalue problem for one-dimensional differential operator with nonlocal integral conditions is investigated numerically. The special cases of general problem are analyzed and hypothesis about the dependence of the spectral structure ...
S. Sajavičius, M. Sapagovas
doaj +1 more source
Nonautonomous Dynamical Systems, 2020 In this paper, we prove that the controllability of time varying linear system is preserved if we add impulses, delay and nonlocal conditions on it. In order to do that, we assume some conditions on the non-linear terms and apply the Rothe’s fixed point ...
Leiva Hugo, Cabada Dalia, Gallo Rodolfo
doaj +1 more source
An Asymptotically Compatible Approach For Neumann-Type Boundary Condition On Nonlocal Problems [PDF]
arXiv, 2019 In this paper we consider 2D nonlocal diffusion models with a finite nonlocal horizon parameter $\delta$ characterizing the range of nonlocal interactions, and consider the treatment of Neumann-like boundary conditions that have proven challenging for discretizations of nonlocal models.
arxiv
Applied Artificial Intelligence in Materials Science and Material Design
Advanced Intelligent Systems, EarlyView.AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel +7 more
wiley +1 more source
Characterizing digital microstructures by the Minkowski‐based quadratic normal tensor
Mathematical Methods in the Applied Sciences, Volume 46, Issue 1, Page 961-985, 15 January 2023., 2023 For material modeling of microstructured media, an accurate characterization of the underlying microstructure is indispensable. Mathematically speaking, the overall goal of microstructure characterization is to find simple functionals which describe the geometric shape as well as the composition of the microstructures under consideration and enable ...
Felix Ernesti +5 more
wiley +1 more source
Nonlocal operators with Neumann conditions
We construct a strong Markov process corresponding to the Dirichlet form of Servadei and Valdinoci and use the process to solve the corresponding Neumann boundary problem for the fractional Laplacian and the half-line.
Bogdan, Krzysztof +2 more
openaire +2 more sources
Boletim da Sociedade Paranaense de Matemática, 2019 In this article we will provide new multiplicity results of the solutions for nonlocal problems with variable exponent and nonhomogeneous Neumann conditions.
Shapour Heidarkhani +2 more
doaj +1 more source
Randomness, Nonlocality and information in entagled correlations [PDF]
, 1995 It is shown that the Einstein, Podolsky and Rosen (EPR) correlations for arbitrary spin-s and the Greenberger, Horne and Zeilinger (GHZ) correlations for three particles can be described by nonlocal joint and conditional quantum probabilities. The nonlocality of these probabilities makes the Bell's inequalities void.
arxiv +1 more source