Which machine learning model is effective and novel in simulation the experimental data of organic pollutants degradation.?

20 May 2025 1 5K Report

I am working degradation of nitrophenol compounds using the UV/chlorine and UV/chloramine processes in the presence of Fe(III). Now I want to implement the theoretical approach on my data. So which theoretical approach is working in my field?

Shafagat Mahmudova

Dear Muhammad Asif ,

The molecular structures of metal oxide photocatalysts are encoded with a crystal graph convolution neural network (CGCNN). The structure of organic compounds is encoded via digital molecular fingerprints (MF).

Article A Novel Machine Learning Model to Predict the Photo-Degradat...

Regards,

Shafagat

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