Results 51 to 60 of about 8,190 (293)
Advanced Engineering Materials, EarlyView.Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
3D–2D dimensional reduction for a nonlinear optimal design problem with perimeter penalization [PDF]
Comptes Rendus. Mathématique, 2012 A 3D–2D dimension reduction for a nonlinear optimal design problem with a perimeter penalization is performed in the realm of Γ -convergence, providing an integral representation for the limit functional.
Graça Carita, ZAPPALE, ELVIRA
openaire +3 more sources
Penalized Principal Component Analysis using Nesterov Smoothing [PDF]
, 2023 Principal components computed via PCA (principal component analysis) are traditionally used to reduce dimensionality in genomic data or to correct for population stratification.
Hurwitz, Rebecca M., Hahn, Georg
core +1 more source
Advanced Engineering Materials, EarlyView.Composite Ti–6Al–4V–epoxy lattice structures are additively manufactured and epoxy infiltrated for cyclic loading. At low lattice volume fractions, hybridization produces synergistic gains in stiffness and energy dissipation. At higher volume fractions, synergy diminishes, although composites still exceed metallic lattices in specific energy ...
Joey Tallon +3 more
wiley +1 more source
Incremental proximal gradient scheme with penalization for constrained composite convex optimization problems [PDF]
Optimization, 2020 We consider the problem of minimizing a finite sum of convex functions subject to the set of minimizers of a convex differentiable function. In order to solve the problem, an algorithm combining the incremental proximal gradient method with smooth penalization technique is proposed.
Narin Petrot, Nimit Nimana
openaire +2 more sources
ON FOUNDATIONS OF PARAMETER ESTIMATION FOR GENERALIZED PARTIAL LINEAR MODELS WITH B-SPLINES AND CONTINUOUS OPTIMIZATION [PDF]
, 2010 Generalized linear models are widely-used statistical techniques. As an extension, generalized partial linear models utilize semiparametric methods and augment the usual parametric terms by a single nonparametric component of a continuous covariate.
Weber, Gerhard-Wilhelm +3 more
core +1 more source
Advanced Engineering Materials, EarlyView.Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
AIP Advances, 2023 An optimization method combining deep reinforcement learning (DRL) and computational fluid dynamics (CFD) was developed, and its effectiveness and limitations are investigated.
T. Noda +4 more
doaj +1 more source
Communication-Efficient Distributed Learning for High-Dimensional Support Vector Machines
Mathematics, 2022 Distributed learning has received increasing attention in recent years and is a special need for the era of big data. For a support vector machine (SVM), a powerful binary classification tool, we proposed a novel efficient distributed sparse learning ...
Xingcai Zhou, Hao Shen
doaj +1 more source
A penalty approximation method for a semilinear parabolic double obstacle problem [PDF]
, 2014 In this work, we present a novel power penalty method for the approximation of a global solution to a double obstacle complementarity problem involving a semilinear parabolic differential operator and a bounded feasible solution set. We first rewrite the
Yang, X. +5 more
core +1 more source