Experimental data containing CO2 solubility in amine at different temperature and amine-concentration. This is intended to use in building a machine learning model for predicting amine CO2 loading capacity
Dear Muhammad, this is a very interesting and timely technical question. Carbon dioxide capture using amines is an important current research topic, and the use of machine learning is certainly a highly promising approach in this field. In this context, please have a look at the following potentially useful link which might help you in your analysis:
Toward smart carbon capture with machine learning
Article Toward smart carbon capture with machine learning
This very interesting article is freely available as public full text on RG. As for experimental data, I just came across the following PhD thesis which might be helpful in this respect:
Amine Based Solvent for CO2 Absorption “From Molecular Structure to Process”
(please see attached pdf file)
Good luck with your work and best wishes, Frank Edelmann
There are some experimental data from 12 different amine solutions within the first paper below. It could also be worthwhile to examine the use of molecular de novo design tools which can take a relatively small number of molecules and learn their properties to predict molecules with similar functions.
Article Artificial neural network models for the prediction of CO2 s...
Article Molecular De Novo Design through Deep Reinforcement Learning