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Using Neural Networks for Corrosion Inhibition Efficiency Prediction during Corrosion of Steel in Chloride Solutions

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Figure

Figure 1.  Structure of artificial neural network.
Table 1.
Table 2. Descriptors for the studied 28 inhibitor molecules calculated using quantum chemical and molecular dynamics, MDs simulation methods
Table 3. Univariate analysis of the experimental inhibition efficiencies data  Number of Sample Points
+4

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