Department of Engineering and Physics, Karlstad University, 651 88 Karlstad, Sweden Materials Theory Division, Department of Physics and Astronomy, Uppsala University, 751 20 Uppsala, Sweden ...
In this study, we introduce a pioneering approach that leverages advanced machine learning and ultrahigh-resolution Fourier transform ion cyclotron mass spectrometry (FT-ICR MS) data to predict the ...