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By plotting the diffusion model and the zero and the first order models, it was found that the zero order had the highest correlation coefficient.
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By plotting the calculated quantities in an appropriate way, the diffusion-dominated, mixed and convection-dominated flow regimes are clearly reproduced by our model.
By plotting the natural logarithm of the measured signal intensity versus the b values, the diffusion rate can be derived from the slope of this plot.
Intraparticle diffusion model was employed to identify the mechanism by plotting the uptake.
First, we began by plotting diffusion curves representing the diffusion of the CTM among all of the PCPs and nurses practicing in the borough.
Analyzed by the Randles-Sevcik plots, the diffusion coefficients in the NCA cathodes increase up to 1.73 × 10−8 and 5.82 × 10−9 cm2 s−1 for Li-extraction and Li-insertion, respectively.
Plotting the class data showed a curvilinear relationship between time elapsed and diffusion distance.
The possibility of existence of intra-particle diffusion is tested by plotting a graph (Fig. 10) between amount of fluoride adsorbed (q t ) and the square root of time from the following equation: {q}_tkern0.5em =K.{t0.5em Xkern0.5em +kern0.5em K.{t}^{1/2} Fig. 10 Intra-particle diffusion.
By plotting a curve describing the gas volume change per unit mass at standard condition over time (Vad), the adsorption diffusion process at isothermal and constant boundary pressure (ICBP) was investigated and interpreted.
Fitting the data to intraparticle diffusion model is performed by plotting q t against t0.5.
Activation energies and frequency factors were obtained from the product layer diffusion coefficient of various sorbents by plotting as an Arrhenius equation form.
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