Results 211 to 220 of about 1,058,969 (248)
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A Dynamic Model of a Molecular Sieve Bed With Nonlinear and Coupled Isotherms

Journal of Dynamic Systems, Measurement, and Control, 1983
A mathematical model of the O2-N2 separation process in a molecular sieve bed was developed and experimentally verified. Oxygen and nitrogen breakthrough experiments were performed on a single bed packed with molecular sieve 5A. In these experiments, the bed had initially adsorbed either pure oxygen or nitrogen and then a constant inlet flow of ...
J. J. Beaman, A. J. Healey, J. Werlin
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The nonlinear sieve problem and applications to thin films

Asymptotic Analysis, 2004
We consider variational problems defined on domains ‘weakly’ connected through a separation hyperplane (‘sieve plane’) by an ε‐periodically distributed ‘contact zone’. We study the asymptotic behaviour as ε tends to 0 of integral functionals in such domains in the nonlinear and vector‐valued case, showing that the asymptotic memory of the sieve is ...
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Nonlinear Photon Sieves for High‐Fidelity Wavefront Engineering

Laser & Photonics Reviews
Abstract Domain‐engineered nonlinear photonic crystals have long served as versatile platforms for structured light modulation, leveraging spatially dependent nonlinearity to control the wavefronts of nonlinear interacting waves. However, most of these crystals rely on classical nonlinear holography, which is limited to unidirectional
Jia‐chen Yang   +7 more
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Inclusion tuning of nonlinear optical materials: SHG of organic guests in molecular sieve hosts

Solid State Ionics, 1989
Abstract The use of inclusion for the development of new nonlinear optical materials is reviewed and a study of the relative intensities of second harmonic generation (SHG) in sorbate complexes of p-nitroaniline (NA) and 2-methyl-p-nitroaniline (MNA) in molecular sieve hosts is presented.
S COX, T GIER, G STUCKY, J BIERLEIN
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Scanning molecular sieve chromatography of interacting protein systems: Nonlinear least-squares analysis of small zone experiments

Analytical Biochemistry, 1986
A simple routine for nonlinear least-squares analysis is applied to small zone scanning data, where calibration of the gel column requires the use of fully characterized markers of known molecular size. Application of nonlinear least-squares analysis eliminates the difficulty encountered because of scarcity of calibrating markers for gels whose ...
E E, Brumbaugh   +4 more
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Prediction Intervals in Linear and Nonlinear Time Series with Sieve Bootstrap Methodology

2014
Forecasting is one of the main goals in time series analysis and it has had a great development in the last decades. In forecasting, the prediction intervals provide additional assessment of the uncertainty compared with a point forecast, which can better guide risk management decisions. The construction of prediction intervals requires fitting a model
Héctor Allende   +2 more
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A Double-Sieve Method to Identify Emergent Computation in Cellular Nonlinear Networks

EUROCON 2005 - The International Conference on "Computer as a Tool", 2005
Cellular nonlinear networks (CNN) and cellular automata have found numerous applications in fast multidimensional signal processing. As a new computational paradigm, the main problem is associated with "design for emergence" i.e. with the identification of proper cells such that the resulting model will perform certain useful computation (e.g.
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Inclusion tuning of nonlinear optical materials: switching the SHG of p-nitroaniline and 2-methyl-p-nitroaniline with molecular sieve hosts

Journal of the American Chemical Society, 1988
Abstract : A study of the relative intensities of second harmonic generation (SHG) in sorbate complexes of p-nitroaniline (NA) and 2-methyl-p-nitroaniline (MNA) in molecular sieve hosts is presented. An SHG signal ten times larger than that of any previously reported organic or organometallic inclusion complex is observed. NA in ALPO-5 complexes have a
S. D. Cox   +3 more
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Neural network sieve bootstrap for nonlinear time series

2004
In this paper we propose a sieve bootstrap scheme, the neural network sieve bootstrap, for nonlinear time series. The proposal, wich is non parametric in its spirit, does not have the problems other nonparametric bootstrap techniques such as the blockwise schemes.
GIORDANO, Francesco   +2 more
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Inference on time series nonparametric conditional moment restrictions using nonlinear sieves

Journal of Econometrics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, Xiaohong   +2 more
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