| Issue Date | Title | Involved Person(s) |
| 3-Mar-2024 | Smart controllable wave dispersion in acoustic metamaterials using magnetorheological elastomers | Gorshkov, Vyacheslav N.; Kolupaiev, Vladyslav O.; Boiger, Gernot K.; Mehreganian, Navid; Sareh, Pooya; Fallah, Arash S. |
| 2-Dec-2023 | A qualitative comparison of ANSYS and OpenFOAM results for carbon dioxide plume transport | Madsen, S.; Andleeb, Z.; Khawaja, H.; Boiger, Gernot Kurt; Moatamedi, M. |
| 2-Sep-2023 | Resonant Raman spectroscopy of carotenoids in aging of extra virgin olive oil | Eggertson, Edward Curran; Venturini, Francesca |
| Sep-2023 | Prediction of autoignition-stabilized flame dynamics in a backward-facing step reheat combustor configuration | Gopalakrishnan, Harish S.; Heggset, Tarjei; Gruber, Andrea; Bothien, Mirko R.; Moeck, Jonas |
| Aug-2023 | New metric formulas that include measurement errors in machine learning for natural sciences | Michelucci, Umberto; Venturini, Francesca |
| Jul-2023 | Uncertainty quantification for reliable automatic multiplet classification in 1H NMR spectra | Fischetti, Giulia; Schmid, Nicolas; Henrici, Andreas; Wilhelm, Dirk; Bruderer, Simon; Heitmann, Bjoern; Scarso, Alessandro; Caldarelli, Guido |
| Jul-2023 | Transforming NMR spectroscopy : extraction of multiplet parameters with deep learning | Schmid, Nicolas; Fischetti, Giulia; Henrici, Andreas; Wilhelm, Dirk; Wanner, Marc; Meshkian, Mohsen; Bruderer, Simon; Wegner, Jan-Dirk; Sigel, Roland K. O.; Heitmann, Bjoern; Konukoglu, Ender |
| 13-Jun-2023 | Multiphysics modelling of powder coating of U-profiles : towards simulation-based optimization of key-performance attributes by variation of powder-parameters | Boiger, Gernot; Siyahhan, Bercan; Fallah, Arash; Khawaja, Hassan Abbas; Moatamedi, Mojtaba |
| Feb-2023 | Deconvolution of 1D NMR spectra : a deep learning-based approach | Schmid, N.; Bruderer, S.; Paruzzo, F.; Fischetti, G.; Toscano, G.; Graf, D.; Fey, M.; Henrici, A.; Ziebart, V.; Heitmann, B.; Grabner, H.; Wegner, J.D.; Sigel, R.K.O.; Wilhelm, D. |
| 11-Jan-2023 | Automatic classification of signal regions in 1H nuclear magnetic resonance spectra | Fischetti, Giulia; Schmid, Nicolas; Bruderer, Simon; Caldarelli, Guido; Scarso, Alessandro; Henrici, Andreas; Wilhelm, Dirk |
| 11-Jan-2023 | Deconvolution of NMR spectra : a deep learning-based approach | Schmid, Nicolas; Bruderer, Simon; Fischetti, Giulia; Paruzzo, Federico; Toscano, Giuseppe; Graf, Dominik; Fey, Michael; Ziebart, Volker; Henrici, Andreas; Grabner, Helmut; Wegner, Jan Dirk; Sigel, Roland K.O.; Heitmann, Björn; Wilhelm, Dirk |
| 2023 | Measuring frontier orbital energy levels of OLED materials using cyclic voltammetry in solution | Kissling, Gabriela P.; Ruhstaller, Beat; Pernstich, Kurt P. |
| Nov-2022 | Numerical modeling and design decisions for aerostatic bearings with relatively large nozzle sizes in Magic-Angle Spinning (MAS) systems | Deb, Rajdeep; Hunkeler, Andreas; Wilhelm, Dirk; Jenny, Patrick; Meier, Beat H. |
| Oct-2022 | Acoustic metamaterials with controllable bandgap gates based on magnetorheological elastomers | Gorshkov, Vyacheslav N.; Bereznykov, Oleksii V.; Boiger, Gernot K.; Sareh, Pooya; Fallah, Arash 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 |
