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The proposed methodology based on theoretical molecular modelling computations, requiring no experimental data can thus be utilised to screen/select the most promising molecules from a large set of possible architectures, thus saving enormous time and resources otherwise needed to design novel surfactants.
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Our theoretical foundation for this method relies upon the energetic factors influenced by the thermodynamics of the interactions acting locally among the segments of the polymer chains involved in modeling computations [ 46].
All authors contributed to modeling, computation, and analyses.
This reduces the computational burden from 5 × 10 = 50 model computations to 5 + 10 = 15 model computations, and is found to be sufficient for model selection in similar work (22).
Results of extensive model computations are presented and discussed.
It uses the MaaS approach, thus illustrating the integration of time-step based model computations.
Model computations were conducted using the Premix code within the Chemkin software package.
The transect highlighted by a dashed line connects the three geographic locations used in the model computations.
As a consequence, performing a large number of model computations cannot be considered in order to assess the failure probability.
It enables the correction or validation of the FORM approximation with only a very few mechanical model computations.
Finally model computations were conducted for specific settings of predictor variables to illustrate the sensitivity of model predictions to varying conditions.
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