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| | Principles of Statistical Glass Modeling |
 | | in Equation (1) is the model intercept, n is the total number of significant glass components excluding the main component (usually silica), the j values are the individual numbers of the significant glass components, bj are the component-specific coefficients, and Cj are the concentrations of the glass components (also called model factors). |
 | | Equation (3) can be used for glass modeling in binary systems within wide concentration ranges, as long as significant crystallization, phase separation, or sharp property extrema [43, 49] do not occur. |
 | | Thermodynamic equations may be used for multiple regression, e.g., with chemical equilibrium constants as coefficients. |
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