Is there any research which study application of AI into chemistry which can predict the output of certain chemical reactions.
So for example, you train the AI about current compounds, substances, structures and their products and chemical reactions from the existing dataset (basically what produce what). Then you give the task to find how to create a gold or silver from group of available substances. Then the algorithm will find the chemical reactions (successfully predicting new one which weren't in the dataset) and gives the results. Maybe the gold is not a good example, but the practical scenario would be creation of drugs which are cheaper to create by using much more simpler processes or synthesizing some substances for the first time for drug industries.
Was there any successful research attempting to achieve that using deep learning algorithms?