Research activities School of Engineering
The latest publications and projects from the School of Engineering.
Allenspach, Cyril Armand; Baumgartner, Franz,
Performance of power optimizer versus string inverter systems [poster].
21. Schweizer Photovoltaik-Tagung, Bern, Schweiz, 20.-21. März 2023.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-27169
Schneider, Lukas; Kalt, Martina; Koch, Samuel; Sithamparanathan, Shanmugi; Villiger, Veronika; Mattiat, Johann; Kradolfer, Flavia; Slyshkina, Ekaterina; Luber, Sandra; Bonmarin, Mathias; Maake, Caroline; Spingler, Bernhard,
BODIPY-based photothermal agents with excellent phototoxic indices for cancer treatment.
Journal of the American Chemical Society.
145(8), pp. 4534-4544.
Available from: https://doi.org/10.1021/jacs.2c11650
Mildenberger, Thoralf; Braschler, Martin; Ruckstuhl, Andreas; Vorburger, Robert; Stockinger, Kurt,
The role of data scientists in modern enterprises : experience from data science education.
Available from: https://doi.org/10.21256/zhaw-27357
Felux, Michael; Figuet, Benoit; Waltert, Manuel; Fol, Patric; Strohmeier, Martin; Olive, Xavier,
Analysis of GNSS disruptions in European airspace [paper].
Proceedings of the 2023 International Technical Meeting of The Institute of Navigation.
International Technical Meeting of the Institute of Navigation (ION ITM), Long Beach, USA, 24-26 January 2023.
Institute of Navigation.
Available from: https://doi.org/10.33012/2023.18626
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.,
Deconvolution of 1D NMR spectra : a deep learning-based approach.
Journal of Magnetic Resonance.
Available from: https://doi.org/10.1016/j.jmr.2022.107357
Stability of self-organizing net fragments as inductive bias for next-generation deep learning
We recently released "A Theory of Natural Intelligence", proposing a possible key to the emergence of intelligence in biological learners. Goal of this fellowship is to develop a technical implementation of the concept of self-organizing netfragments within contemporary deep artificial neural nets. ...
The Fourth International Workshop on Dynamic Scheduling Problems
The aim of the workshop is to present recent research results on dynamic scheduling problems, in which job processing times, machine speeds or other parameters of the problems are variable and dynamically change in time.
Enhancing the grid infrastructure for fast charging stations of electromobility
To provide reliability and security to the electrical network and minimize potential collapses, the current strategies to control the charging process, namely the optimal handling of the power electronic components involved, need to be improved and new control algorithms are urged to be developed, which should be ...
Reduced Residual Stresses through Support Structure Optimization in Laser Powder Bed Fusion
Metal additive manufacturing (AM) has proven to be an attractive and viable technology for industry to produce complex components and/or small lot sizes. The reliability and thus acceptance of metal laser powder bed fusion (LPBF) remains a challenge though. Severe thermal gradients can occur causing excessive ...
Simulation-based further development of an aseptic process valve with free-floating piston for Non-Newtonian Fluids
Simulation based development of a novel, aseptic process-valve for non-newtonian fluids. We apply finite-volume and finite-element based numerical methods, multiphysics simulations and massive simultaneous cloud computing.