Kontakt
Pfaffenwaldring 5a
70569 Stuttgart
Raum: 2.33
2025
- Pawusch L, Scheurer S, Nowak W, Maxwell R. Development of a Combined Machine Learning and Physics-based Approach to Reduce Hydrologic Model Spin-up Time. In: Geophys. Res. Abstr. Vienna: EGU General Assembly 2025; 2025.
2024
- Bartsch J, Knopf P, Scheurer S, Weber J. Controlling a Vlasov-Poisson Plasma by a Particle-in-Cell Method based on a Monte Carlo Framework. SIAM Journal on Control and Optimization. 2024 Jul;62:1977–2011.
- Scheurer S, Nowak W. Neural Process Regression. In: geoENV2024 Book of Abstracts. Chania, Crete, GR: Creative Commons Licence BY-NC-ND 4.0; 2024. pp. 155–6.
2023
- Wildt N, Scheurer S, Nowak W, Haslauer C. Learning PFAS mechanisms with a FInite Volume Neural Network (FINN). In: Fall Meeting 2023. San Francisco, CA, USA: American Geophysical Union (AGU); 2023.
2021
- Scheurer S, Schäfer Rodrigues Silva A, Mohammadi F, Hommel J, Oladyshkin S, Flemisch B, et al. Surrogate-based Bayesian Comparison of Computationally Expensive Models: Application to Microbially Induced Calcite Precipitation. Computational Geosciences. 2021;25:1899–917.
11/2019 B.Sc. Simulation Technology, Universität Stuttgart
10/2022 M.Sc. Simulation Technology, Universität Stuttgart
Seit 01/2023 Doktorandin, Institut für Wasser- und Umweltsystemmodellierung,
Universität Stuttgart
Unsicherheitsquantifizierung für und mit Machine Learning
Projekt: Bayesian, Causal, Universal Differential Equation Learner