Mulero, Angel;Pierantozzi, M.;Cachadina, Isidro;Di Nicola, G. published 《An Artificial Neural Network for the surface tension of alcohols》. The research results were published in《Fluid Phase Equilibria》 in 2017.Electric Literature of C11H16O The article conveys some information:
An Artificial Neural Network model is proposed for the calculation and prediction of the surface tension of alcs. A total amount of 4316 data for 147 alcs. was used for training, validating and testing the network model. After considering different architectures, the one giving better results includes an input layer that uses four independent variables (temperature, critical point temperature, critical d., and radius of gyration), two hidden layers with 21 neurons each one, and one neuron in the output layer was found to give the best results. Overall mean absolute percentage deviation of 1.04% was found, whereas models based on corresponding-states principle give mean deviations higher than 11.3%. The experimental procedure involved many compounds, such as 4-tert-Amylphenol (cas: 80-46-6) .
4-tert-acylphenol (cas:80-46-6) contains hydroxyl group. Owing to the presence of the polar OH alcohols are more water-soluble than simple hydrocarbons. Methanol, ethanol, and propanol are miscible in water. Butanol, with a four-carbon chain, is moderately soluble.Electric Literature of C11H16O
Reference:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts