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. et al. (2024) 'Bayesian analysis of 1D 1H-NMR spectra', Journal of Magnetic Resonance, 364(107723). doi: 10.1016/j.jmr.2024.107723.
• Hostettler, M. et al. (2023) 'Modelling of peristaltic pumps with respect to viscoelastic tube material properties and fatigue effects', Fluids, 8(9), pp. 254–269. doi: 10.3390/fluids8090254.
• Vömel, C. et al. (2017) 'The secret life of keys : on the calculation of mechanical lock systems', SIAM Review, 59(2), pp. 393–422. doi: 10.1137/15M1030054.
• De Lorenzi, F. et al. (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), pp. 2974–2985. doi: 10.1093/mnras/sts545.
• De Lorenzi, F. and 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), p. 021005. doi: 10.1115/1.4005605.

Oral conference contributions and abstracts

Hostettler, M. et al. (2022) 'Modelling of peristaltic pumps for viscoelastic tube material properties under consideration of fatigue effects', in Multiphysics 2022. International Society of Multiphysics, p. 33. Available at: https://static1.squarespace.com/static/5c9f89c101232c1d41297d67/t/639912525a90a93394aa8b71/1670976084271/MULTIPHYSICS+2022-Abstract+Booklet.pdf.

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