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The MLR model enabled one to compute integral adsorption enthalpies with a precision of around 10% and to draw conclusions on the dominant adsorption mechanisms.
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Our statistical-mechanical model enables one to generate tissue microstructure at will for further analysis.
Our model enables one to account for a variety of maintenance strategies that target different clogging mechanisms.
The model enables one to investigate the water level dynamics for changes in steam demand and/or heating rate simply from basic design values.
The model enables one to obtain a definitive qualitative picture of droplet shape evolution associated with the operating parameters, and may be used for quantitative analysis.
It has been demonstrated that the computational model enables one to obtain a definitive qualitative picture of droplet shape evolution associated with the operating parameters.
This model enables one to parameterize the stiffness matrix of the finite element (FE) model of the system, such that, in an updating process, properties such as symmetry and sparsity of the original FE model are naturally preserved.
The model enables one to simulate polysaccharide single helices with different pitch values, number of monomers per pitch, and cross-sectional radius, as well as different random coils with excluded volume taken into account.
By allowing the distribution of equally good solutions to the given experimental SAXS curve, the new model enables one to get a phase space of possible polymer structures in the aqueous environment.
In particular, the proposed model enables one to simultaneously consider (1) both the free and forced vibrations, (2) translational and rotational effects of the connection springs, (3) any boundary conditions, and (4) various combinations of discontinuities.
Using transition parameters from the Markov model enables one to predict the risk of getting de novo cancer.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com