Results 81 to 90 of about 14,098 (299)
Advanced Materials, EarlyView.Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Volume Ray Casting on Sparse Grids [PDF]
, 1998 These days sparse grids are of increasing interest in numerical simulations. Based upon hierarchical tensor product bases, the sparse grid approach is a very efficient one improving the ratio of invested storage and computing time to the achieved ...
Roberto Grosso +3 more
core
Parallelisation of sparse grids for large scale data analysis [PDF]
, 2015 Sparse grids are the basis for efficient high dimensional approximation and have recently been applied successfully to predictive modelling. They are spanned by a collection of simpler function spaces represented by regular grids.
Nielsen, Ole +2 more
core +1 more source
Sparse Spikes Deconvolution on Thin Grids
CoRR, 2015 This article analyzes the recovery performance of two popular finite dimensional approximations of the sparse spikes deconvolution problem over Radon measures. We examine in a unified framework both the L1 regularization (often referred to as Lasso or Basis-Pursuit) and the Continuous Basis-Pursuit (C-BP) methods. The Lasso is the de-facto standard for
Vincent Duval, Gabriel Peyré
openaire +2 more sources
Advanced Materials, EarlyView.Harnessing the synergistic interplay of supramolecular self‐assembly, under macromolecular crowding conditions, and enzymatic‐mediated covalent crosslinking toward a stable protein‐based G‐quadruplex‐derived supramolecular bioink. This bioinspired strategy enables the biofabrication of complex and tunable ECM‐mimetic constructs, providing a platform ...
Vera Sousa +6 more
wiley +1 more source
Polynomial Chaos Expansion mit räumlich adaptiven Sparse Grids [PDF]
, 2020 Die Polynomial Chaos Expansion (generalized Polynomial Chaos) ist eine Methode aus der Uncertainty Quantification. Mit ihr können die stochastischen Momente einer Funktion R, deren Parameter gemäß Verteilungsfunktionen verteilt sind, schnell berechnet ...
Albrecht, Thomas
core +1 more source
Adaptive quasi-dynamic state estimation for MV and LV grids
EURASIP Journal on Advances in Signal Processing, 2019 State estimation in middle- (MV) and low-voltage (LV) electrical grids poses a number of challenges for the estimation method employed. A significant difference to high-voltage grids is the lack of measurements as the instrumentation with measurement ...
Natallia Makarava +2 more
doaj +1 more source
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
B-spline quasi-interpolation on sparse grids [PDF]
, 2011 We propose a periodic B-spline quasi-interpolation for multivariate functions on sparse grids and develop a fast scheme for the evaluation of a linear combination of B-splines on sparse grids.
Xu, Yuesheng +3 more
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Xibei Gongye Daxue Xuebao, 2020 Aiming at the direction of arrival (DOA) estimation of coherent signals in vector hydrophone array, an iterative sparse covariance matrix fitting algorithm is proposed.
doaj +1 more source