With conventional methods, it is extremely time-consuming to calculate the spectral fingerprint of larger molecules. But this is a prerequisite for correctly interpreting experimentally obtained data. Now, a team at HZB has achieved very good results in significantly less time using self-learning graphical neural networks.
Click here for original story, Calculating the ‘fingerprints’ of molecules with artificial intelligence
Source: Phys.org