Results 81 to 90 of about 280,565 (313)
Bimetallic Nanoparticles as Cocatalysts for Photocatalytic Hydrogen Production
Advanced Functional Materials, EarlyView.Recent developments have introduced bimetallic nanoparticles as effective cocatalysts for photocatalytic systems. This review explores the rapidly expanding research on bimetallic cocatalysts for photocatalytic production of hydrogen, emphasizing the creation of carrier‐selective contacts, localized surface plasmon resonance effects, methodologies for ...
Yufen Chen +4 more
wiley +1 more source
Weak peak identification of gamma spectrum based on singular value decomposition
He jishuBackgroundWhen performing gamma-ray spectroscopy analysis of samples with low levels of radioactive nuclide content, the weak peaks are difficult to be identified.PurposeThis study aims to propose a new method for identifying peaks in γ spectra by ...
CHEN Feng, ZHOU Jianbin, LIU Yi
doaj +1 more source
Biplots of compositional data [PDF]
The singular value decomposition and its interpretation as a linear biplot has proved to be a powerful tool for analysing many forms of multivariate data. Here we adapt biplot methodology to the speciffic case of compositional data consisting of positive
J. Aitchison, Michael Greenacre
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Quantum-inspired low-rank stochastic regression with logarithmic dependence on the dimension [PDF]
, 2018 We construct an efficient classical analogue of the quantum matrix inversion algorithm (HHL) for low-rank matrices. Inspired by recent work of Tang, assuming length-square sampling access to input data, we implement the pseudoinverse of a low-rank matrix
Gilyén, András +2 more
core +2 more sources
Advanced Functional Materials, EarlyView.The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner +4 more
wiley +1 more source
Efficient singular-value decomposition of the coupled-cluster triple excitation amplitudes
, 2019 We demonstrate a novel technique to obtain singular-value decomposition (SVD) of the coupled-cluster triple excitations amplitudes, $t_{ijk}^{abc}$. The presented method is based on the Golub-Kahan bidiagonalisation strategy and does not require $t_{ijk}^
Lesiuk, Michal
core +1 more source
Advanced Functional Materials, EarlyView.Most matter is nominally frozen in the polar regions or space, and liquid crystal materials are no exception. Consequently, soft actuators, including liquid crystal elastomers (LCEs), are inoperative under such extreme cold in response to stimuli, as their motion relies on mechanical deformation.
Hyeonseong Kim +5 more
wiley +1 more source
SINGULAR VALUE DECOMPOSITION IN DIGITAL IMAGE ANALYSIS
Informatika, 2017 The paper describes new properties of the singular matrix decomposition. It is shown that permutation of rows or columns of the matrix or matrix rotation by 90 degrees does not change the set of its singular numbers.
V. V. Starovoitov
doaj
Modeling Electromechanical Overcurrent Relays Using Singular Value Decomposition
Journal of Applied Mathematics, 2012 This paper presents a practical and effective novel approach to curve fit electromechanical (EM) overcurrent (OC) relay characteristics. Based on singular value decomposition (SVD), the curves are fitted with equation in state space under modal ...
Feng-Jih Wu +3 more
doaj +1 more source
Efficient Orthogonal Tensor Decomposition, with an Application to Latent Variable Model Learning
, 2013 Decomposing tensors into orthogonal factors is a well-known task in statistics, machine learning, and signal processing. We study orthogonal outer product decompositions where the factors in the summands in the decomposition are required to be orthogonal
Király, Franz J.
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