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Experimental Determination of the Standard Enthalpy of Formation of Trimellitic Acid and Its Prediction by Supervised Learning.

Fausto Díaz-SánchezMiguel Angel García-CastroMaría Patricia Amador-RamírezJesús Andrés Arzola-FloresXimena Limón-Aguilar
Published in: The journal of physical chemistry. A (2024)
The standard molar enthalpy of formation for trimellitic acid (TMAc) in the crystalline phase at 298.15 K, Δ f H m °(cr), was calculated experimentally from the enthalpy of combustion through combustion calorimetry experiments. Likewise, the standard molar enthalpy of sublimation was determined from the standard molar enthalpy of fusion and from the standard molar enthalpy of vaporization from differential scanning calorimetry and thermogravimetry, respectively. Subsequently, the standard molar enthalpies of formation in the gas-phase at 298.15 K, Δ f H m °(g), were calculated. The enthalpies of formation for TMAc, hemimellitic, and trimesic acids were predicted using multiple linear regression (MLR) with a nonreplacement evaluation technique. MLR was applied to the data set that allowed estimating these thermochemical properties with an R 2 greater than 0.99. This model was used to compare the predicted and experimental results for benzene carboxylic acids.
Keyphrases
  • machine learning
  • particulate matter
  • high resolution
  • air pollution
  • sewage sludge
  • neural network
  • anaerobic digestion