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Several machine learning algorithms have recently been applied to modeling the specificity of HIV-1 protease.
A new grid-based algorithm developed at Molecular Simulations, and molecular dynamics method have been applied to modeling the locations of non-framework species in zeolites.
It has also been applied to modeling intensity-modulated radiation therapy; see, for example [2 7] and the references therein.
The birth-and-death approach has been applied to modeling the evolution of paralogous genome family sizes [ 6, 12, 34], the distribution of folds and families in the entire protein universe [ 35], and protein-protein interaction networks [ 36, 37].
This methodology has been applied to modeling of the behavior of epoxidation catalysts, with the composition vector of the starting synthesis gel and XRD spectra as descriptors.
To improve the quality of divertor modeling and reveal limitations of the detachment physics built into state-of-the-art codes, an integrated divertor code SONIC has been applied to modeling of the JT-60U detached divertor plasma.
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For critical installation activities, numerical analyses methodologies have been applied to model the actual operations.
Queuing theory has been applied to model the performance in several contexts.
Monte Carlo method has been applied to model the spin transport [26] in graphene.
The Danish Gaussian plume dispersion model (OML) [ 14, 15] has been applied to model the Δ-Pbair values (Fig 2).
B2 code is applied to modeling.
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