Chemical data analysis
The chemical industry works with chemical structures, niche literature, crystallography, NMR spectra, and thermophysical data. NMR and LC-MS data, for example, correlate chemical structures with spectrums. Usually, compounds are detected semi-automatically by software first and verified by human experts later. AI offers improved automatic compounds detection from spectrums. A combination of NLP and image processing is used for the automatic extraction of chemical reactions and conditions from academic papers and patents.