Here’s the main paper we using QM9 data set the difference the have only 2ocsilator strength and we will recalculate to have 10 oscillator.
https://edoc.unibas.ch/43349/1/1%252E4928757.pdf
The objectives are to 1) build a database for UV-VIS for QM9/QM8 molecules.2) predict ultraviolet-visible spectroscopy using machine learning.
3 ) will create a database for this work to store all of the important data that is needed to accurately predict the response properties.
—————————— for sure you need to rewrite them in a flow good way.
Why is it important to use ML ? Because computional is costing.
Also , in the approach section,
The program will be used were created using the
Amsterdam Modeling Suite (AMS) graphical user interface the functions B3lyp and CAM-B3LYP. Add add the reason why the are best .