Models for the prediction of the thermophysical properties of halogenated substances

<div>This entry contains, first, the Matlab functions code for the calculation of the critical temperature, critical pressure, acentric factor, normal boiling temperature, and ideal gas heat capacity by using a classical group contribution approach (GCM functions.p) or a neural-network-based approach (ANN functions.p). The input for their use is an</div><div>array containing the number of groups for the definition of the fluid, except for the case of the ideal gas capacity, where the fi rst element of the array will be the temperature in K. An example of use can be found in the related publications.</div><div><br></div><div>Second, function for the estimation of the uncertainty of the predicted values are also included:</div><div>uncertainty model.m: obtains the estimated uncertainty for a specifi ed model and property. The input for its use is the array containing the number of groups for the fluid, except</div><div>for the case of the ideal gas capacity, where the fi rst element of the array will be the temperature in Kelvin. An example of use of this function can be found in the related publication.</div><div><br></div><div>Tc model.mat: is a structure that contains the array of experimental values of Tc (Tcexp), the fluid groups (groups), the models' parameters (param GCM, param ANN), the predictions of the GCM and the ANN (Tc GCM, Tc ANN), their uncertainties (u GCM, u ANN), and the PDF of both model parameters (pdf GCM, pdf ANN). </div><div>Pc model.mat, w model.mat, and cp0 model.mat are analogous to Tc model.mat.</div><div>Tc model.csv, Pc model.csv, w model.csv, and cp0 model.csv: contain the data of the .mat fi les in csv format.</div>