Dr. Flavio De Lorenzi

Projects

• Smart Acquisition for Ultra-High field NMR Spectroscopy / Team member / ongoing
• Machine learning for NMR spectroscopy / Team member / completed
• Development of a Thermodynamic Model of Diblock Copolymers Attached to a Homopolyme / Air Interface / Project leader / completed
• Micelle Formation in Polymer / Copolymer Blends / Project leader / completed
• Advanced Data Center Energy Management / Team member / completed
• Modelling and simulation of phenomena in vacuum interrupters / Team member / completed

Publications

Articles in scientific journal, peer-reviewed

• De Lorenzi, F., Weinmann, T., Bruderer, S., Heitmann, B., Henrici, A., & Stingelin, S. (2024). Bayesian analysis of 1D 1H-NMR spectra. Journal of Magnetic Resonance, 364(107723). https://doi.org/10.1016/j.jmr.2024.107723
• Hostettler, M., Grüter, R., Stingelin, S. I., De Lorenzi, F., Füchslin, R. M., Jacomet, C., Koll, S., Wilhelm, D., & Boiger, G. K. (2023). Modelling of peristaltic pumps with respect to viscoelastic tube material properties and fatigue effects. Fluids, 8(9), 254–269. https://doi.org/10.3390/fluids8090254
• Vömel, C., De Lorenzi, F., Beer, S., & Fuchs, E. (2017). The secret life of keys : on the calculation of mechanical lock systems. SIAM Review, 59(2), 393–422. https://doi.org/10.1137/15M1030054
• De Lorenzi, F., Hartmann, M., Debattista, V. P., Seth, A. C., & Gerhard, O. (2013). Three-integral multi-component dynamical models and simulations of the nuclear star cluster in NGC 4244. Monthly Notices of the Royal Astronomical Society, 429(4), 2974–2985. https://doi.org/10.1093/mnras/sts545
• De Lorenzi, F., & Vömel, C. (2012). Neural network-based prediction and control of air flow in a data center. Journal of Thermal Science and Engineering Applications, 4(2), 21005. https://doi.org/10.1115/1.4005605

Oral conference contributions and abstracts

Hostettler, M., Stingelin, S., De Lorenzi, F., Füchslin, R. M., Jacomet, C., Koll, S., Wilhelm, D., & Boiger, G. (2022). Modelling of peristaltic pumps for viscoelastic tube material properties under consideration of fatigue effects [Conference presentation]. Multiphysics 2022, 33. https://static1.squarespace.com/static/5c9f89c101232c1d41297d67/t/639912525a90a93394aa8b71/1670976084271/MULTIPHYSICS+2022-Abstract+Booklet.pdf

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