Issue Date | Title | Involved Person(s) |
14-Jul-2022 | A deep ensemble learning method for automatic classification of multiplets in 1D NMR spectra | Fischetti, Giulia; Schmid, Nicolas; Bruderer, Simon; Paruzzo, Federico; Toscano, Giuseppe; Graf, Dominik; Fey, Michael; Henrici, Andreas; Scarso, Alessandro; Caldarelli, Guido; Heitmann, Björn; Wilhelm, Dirk |
13-Jul-2022 | Deconvolution of NMR spectra : a deep learning-based approach | Schmid, Nicolas; Bruderer, Simon; Fischetti, Giulia; Paruzzo, Federico; Toscano, Giuseppe; Graf, Dominik; Fey, Michael; Henrici, Andreas; Grabner, Helmut; Wegner, Jan Dirk; Sigel, Roland K. O.; Heitmann, Björn; Wilhelm, Dirk |
2022 | Modelling of peristaltic pumps for viscoelastic tube material properties under consideration of fatigue effects | Hostettler, Marco; Stingelin, Simon; De Lorenzi, Flavio; Füchslin, Rudolf Marcel; Jacomet, Cyrill; Koll, Stephan; Wilhelm, Dirk; Boiger, Gernot |