Publications

Preprints

• W.G. van Harten, L. Scarabosio, Distributed preconditioning for the parametric Helmholtz equation .
• S. Kuijpers, L. Scarabosio, Wavenumber-Explicit Well-Posedness of Bayesian Shape Inversion in Acoustic Scattering .
• S. Schönfeld, L. Scarabosio, A. Ozkan, M.N. Rylander, C. Kuttler, Using systemic modeling and Bayesian calibration to investigate the role of the tumor microenvironment on chemoresistance .

Articles in Journals

• W.G. van Harten, L. Scarabosio, Exploiting locality in sparse polynomial approximation of parametric elliptic PDEs and application to parameterized domains . ESAIM: Mathematical Modelling and Numerical Analysis, 2024, 58(5), 1581–1613.
• L. Scarabosio, Deep neural network surrogates for non-smooth quantities of interest in shape uncertainty quantification . SIAM/ASA Journal on Uncertainty Quantification, 2022, 10(3), 975–1011. Preprint
• S. Schönfeld, A. Ozkan, L. Scarabosio, M. N. Rylander, C. Kuttler, Environmental stress level to model tumor cell growth and survival . Mathematical Biosciences and Engineering, 2022, 19(6): 5509–5545.
• M. Fritz, C. Kuttler, M.L. Rajendran, L. Scarabosio, B. Wohlmuth, On a subdiffusive tumour growth model with fractional time derivative . IMA Journal of Applied Mathematics, 86(4), 2021, 688–729. Preprint
• L. Scarabosio, B. Wohlmuth, J.T. Oden, D. Faghihi, Goal-oriented adaptive modeling of random heterogeneous media and model-based multilevel Monte Carlo methods . Computers & Mathematics with Applications, 78(8), 2019, 2700–2718. Preprint
• U. Khristenko, L. Scarabosio, P. Swierczynski, E. Ullmann, B. Wohlmuth, Analysis of Boundary Effects on PDE-Based Sampling of Whittle–Matérn Random Fields . SIAM/ASA Journal on Uncertainty Quantification, 7(3), 948–974. Preprint
• L. Scarabosio, Multilevel Monte Carlo on a high-dimensional parameter space for transmission problems with geometric uncertainties . International Journal for Uncertainty Quantification, 9(6), 2019. Preprint
• R. Hiptmair, L. Scarabosio, C. Schillings, C. Schwab, Large deformation shape uncertainty quantification in acoustic scattering . Advances in Computational Mathematics, 1–44. Preprint
• E.A.B.F. Lima, J.T. Oden, B. Wohlmuth, A. Shahmoradi, D.A. Hormuth II, T.E. Yankeelov, L. Scarabosio, T. Horger, Selection and validation of predictive models of radiation effects on tumor growth based on noninvasive imaging data . Computer Methods in Applied Mechanics and Engineering, 327, 277–305. Preprint
• A. Paganini, L. Scarabosio, R. Hiptmair, I. Tsukerman, Trefftz approximations: a new framework for nonreflecting boundary conditions . IEEE Transactions on Magnetics, 52(3), 1–4.

Peer-Reviewed Proceedings

• W.G. van Harten, D. Heldens, L. Scarabosio, G.J. Lord, S. Rieken, Application of particle-based Bayesian inversion to underground medium voltage power cables in the Netherlands . IET Conference Proceedings CP922, Vol. 2025, No. 14.
• J. de Lange, S. Rieken, L. Scarabosio, G.J. Lord, Preventing congestion management by modelling cable temperatures: a real-world case . IET Conference Proceedings CP876, Vol. 2024, No. 5.

Reports

• J. Careaga, P. Korevaar, V. Nikolić, L. Scarabosio, Application of the thin-film equations in modelling of Marangoni flow patterns amongst surfactant source and drain locations .

Theses

• L. Scarabosio, Shape uncertainty quantification for scattering transmission problems . Diss. ETH Zurich, 2016.