Since both minimization and root finding at their core rely on iterations, an iteration free model can be called a shortcut model. Such a piece of code skips computationally expensive operations (minimization and root finding based on iteration) in favor of fast but possibly less accurate results which are obtained by algebraic calculations. One further benefit is the ability to tune these methods to one's liking. They can be constructed to match experimental data in favor of thermodynamic calculations. Thus, when constructed carefully, they might even prove useful in scenarios where thermodynamic first-principle dataand conventional methods with itare not available.