Results 101 to 110 of about 2,361,693 (360)
Advanced Engineering Materials, EarlyView.In this study, exciting new bi‐/multi‐linear elastic behavior of soft elastic composites that accompany the activation of wrinkling in the embedded interfacial layers is analyzed. The new features and performance of these composite materials, including dramatic enhancements in energy storage, can be tailored by the concentration of interfacial layers ...
Narges Kaynia +2 more
wiley +1 more source
cuSten — CUDA finite difference and stencil library
SoftwareX, 2019 In this paper we present cuSten, a new library of functions to handle the implementation of 2D and batched 1D finite-difference/stencil programs in CUDA. cuSten wraps data handling, kernel calls and streaming into four easy to use functions that speed up
Andrew Gloster, Lennon Ó Náraigh
doaj
Verification of Binomial theorem and Chu-Vandermonde convolution by the finite difference method [PDF]
arXiv, 2011 In this note, we show that Binomial theorem and Chu-Vandermonde convolution can both be verified by the finite difference method.
arxiv
Finite Difference Approximation of Free Discontinuity Problems
, 1999 We approximate functionals depending on the gradient of $u$ and on the behaviour of $u$ near the discontinuity points, by families of non-local functionals where the gradient is replaced by finite differences.
Gobbino, Massimo, Mora, Maria Giovanna
core +1 more source
On the difference between permutation polynomials over finite fields [PDF]
, 2017 The well-known Chowla and Zassenhaus conjecture, proven by Cohen in 1990, states that if $p>(d^2-3d+4)^2$, then there is no complete mapping polynomial $f$ in $\Fp[x]$ of degree $d\ge 2$.
Anbar, Nurdagül +5 more
core +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Advanced Engineering Materials, EarlyView.Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani +2 more
wiley +1 more source
A new efficient staggered grid finite difference scheme for elastic wave equation modeling [PDF]
arXiv, 2017 Staggered grid finite difference scheme is widely used for the first order elastic wave equation, which constitutes the basis for least-squares reverse time migration and full waveform inversion. It is of great importance to improve the efficiency and accuracy of wave equation modeling.
arxiv
Digital Methods for the Fatigue Assessment of Engineering Steels
Advanced Engineering Materials, Volume 27, Issue 8, April 2025.The use of engineering steels is often limited by their fatigue strength. In the sake of a faster product development, the fatigue behavior can be predicted by machine learning (ML). In this work, ML is applied on a heterogeneous database, covering a wide range of steel types.
Sascha Fliegener +7 more
wiley +1 more source
Nonstandard finite difference schemes for differential equations
Sahand Communications in Mathematical Analysis, 2014 In this paper, the reorganization of the denominator of the discrete derivative and nonlocal approximation of nonlinear terms are used in the design of nonstandard finite difference schemes (NSFDs).
Mohammad Mehdizadeh Khalsaraei +1 more
doaj
Advanced Engineering Materials, Volume 27, Issue 8, April 2025.Integrity constraints enforce consistency and completeness on data. The article discusses a newly developed validator for checking integrity constraints in Shapes Constraint Language (SHACL) through reduction to SPARQL Protocol and RDF Query Language (SPARQL) queries. It can be used with systems for ontology‐based database access.
Özgür L. Özçep +5 more
wiley +1 more source