Results 71 to 80 of about 114,992,358 (252)
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
Advanced Engineering Materials, EarlyView.High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
Abstract and Applied Analysis, 2013 This paper discusses spectral and spectral element methods with Legendre-Gauss-Lobatto nodal basis for general 2nd-order elliptic eigenvalue problems. The special work of this paper is as follows.
Jiayu Han, Yidu Yang
doaj +1 more source
Cluster robust error estimates for the Rayleigh–Ritz approximation II: Estimates for eigenvalues [PDF]
, 2005 This is the second part of a paper that deals with error estimates for the Rayleigh–Ritz approximations of the spectrum and invariant subspaces of a bounded Hermitian operator in a Hilbert or Euclidean space.
E. Ovtchinnikov, Ovtchinnikov, E.
core +1 more source
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Advanced Engineering Materials, EarlyView.Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
Finite Volume Element Approximation for the Elliptic Equation with Distributed Control
International Journal of Differential Equations, 2018 In this paper, we consider a priori error estimates for the finite volume element schemes of optimal control problems, which are governed by linear elliptic partial differential equation.
Quanxiang Wang +2 more
doaj +1 more source
Strong Lead‐Free Bioinspired Piezoceramics for Durable Energy Transducers
Advanced Functional Materials, EarlyView.We fabricated brick‐and‐mortar lead‐free piezoceramics with Bi0.5Na0.5TiO3 monocrystal platelets as bricks and amorphous silica as mortar. The alignment of the bricks and the presence of the amorphous silica led to anisotropic residual stresses. These residual stresses increase the samples toughness, strength and durability while the brick alignment ...
Ruxue Yang +12 more
wiley +1 more source
A-priori estimates of the hp-adaptive BEM in elastic scattering of acoustic waves
Computer Assisted Methods in Engineering and Science, 2023 In the paper some a-priori hp-adaptive error estimates, applied to the problem of acoustic wave scattering on an elastic body in the 2D space, solved by the Boundary Element Method, are presented.
Andrzej Karafiat
doaj
, 2014 Nearly all inf-sup stable mixed finite elements for the incompressible Stokes equations relax the divergence constraint. The price to pay is that a-priori estimates for the velocity error become pressure-dependent, while divergence-free mixed finite ...
Christian Brennecke +7 more
core +1 more source
Advanced Healthcare Materials, EarlyView.Inspired by conventional cell therapy and emerging bioengineering approaches, the tissue‐engineered nigrostriatal pathway (TE‐NSP) has an anatomically‐inspired design comprising a population of human dopaminergic neurons with unidirectional, long‐projecting axon tracts.
Wisberty J. Gordián‐Vélez +8 more
wiley +1 more source
New anisotropic a priori error estimates
We prove a priori anisotropic estimates for the L2 and H1 interpolation error on linear finite elements. The full information about the mapping from a reference element is employed to separate the contribution to the elemental error coming from different
Perotto, Simona, Formaggia, Luca
core +1 more source