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In this paper a 2D model for Cu(In,Ga Se2 (CIGS) solar cells under low solar concentration is described and contrasted with experimental data.
As a result, the temperature-dependent model was applied to predict the fluid phase equilibria of the corresponding binary a ternary sub-systems and, later, successfully contrasted with experimental data.
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In this study, a second-moment closure, the Reynolds stress model (RS M and two-equation turbulence models: the standard k ε and a renormalization group (RNG), were tested, contrasted and compared with experimental data.
Using the current distribution of the species, we test for differences in climatic niche, and contrast these with experimental data obtained from range edge populations.
The model was conducted through the train set and the outcomes were contrasted with the experimental data set.
These results highlight the potential of our method to predict mechanism of action of chemical agents by contrasting model simulations with experimental data.
Results obtained when contrasting the proposed model with experimental data of three subterranean wine cellars for 2 years are satisfactory.
By contrasting time-averaged radial profiles with experimental data of a classical benchmark, the model is validated.
We contrast our numerical predictions with experimental data, finding a good agreement for a wide range of initial microfibril angles.
In contrast, HADDOCK is a data-driven docking program that has been widely used in combination with experimental data, ranging from NMR data, mass spectrometry data to mutagenesis data (for a comprehensive overview, see van Dijk et al. [9]).
In contrast, a model where cell size determines the probability of division is in good agreement with experimental data.
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