Estimation of Heat Capacity of 143 Pure Ionic Liquids Using Artificial Neural Network was written by Azadfar, Roohollah;Shaabanzadeh, Masoud;Hashemi-Moghaddam, Hamid;Nafchi, Abdorreza Mohammadi. And the article was included in International Journal of Thermophysics in 2022.COA of Formula: C18H31F6N3O4S2 This article mentions the following:
Based on artificial neural network (ANN), a new model is presented to estimate the heat capacity of pure ionic liquids A database for the heat capacity of ionic liquids created by extracting exptl. data from literature covering the period from 1971 to 2021 is reported. With the presented approach, heat capacity is calculated and evaluated by source data bank for 7059 data points of 143 ionic liquids The accuracies of new ANN model are evaluated by comparing with the most commonly used correlations in the literatures, and the results reveal that the proposed network provides more accurate results than other literature correlations considered in this work. The average absolute percentage deviation from the new model is only 1.14%. In the experiment, the researchers used many compounds, for example, 3-Dodecyl-1-methyl-1H-imidazol-3-ium bis((trifluoromethyl)sulfonyl)amide (cas: 404001-48-5COA of Formula: C18H31F6N3O4S2).
3-Dodecyl-1-methyl-1H-imidazol-3-ium bis((trifluoromethyl)sulfonyl)amide (cas: 404001-48-5) belongs to imidazole derivatives. Many natural products, especially alkaloids, contain the imidazole ring. These imidazoles share the 1,3-C3N2 ring but feature varied substituents. Many drugs contain an imidazole ring, such as certain antifungal drugs, the nitroimidazole series of antibiotics, and the sedative midazolam.COA of Formula: C18H31F6N3O4S2
Referemce:
Imidazole – Wikipedia,
Imidazole | C3H4N2 – PubChem