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Christina Schenk
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2020 – today
- 2024
- [i4]Simone Rusconi, Christina Schenk, Arghir Zarnescu, Elena V. Akhmatskaya:
Reducing model complexity by means of the Optimal Scaling: Population Balance Model for latex particles morphology formation. CoRR abs/2402.06522 (2024) - [i3]Christina Schenk, Aditya Vasudevan, Maciej Haranczyk, Ignacio Romero:
Model-Based Reinforcement Learning Control of Reaction-Diffusion Problems. CoRR abs/2402.14446 (2024) - 2023
- [j5]Simone Rusconi
, Christina Schenk
Reducing model complexity by means of the optimal scaling: Population balance model for latex particles morphology formation. Appl. Math. Comput. 443: 127756 (2023) - [j4]Tyler W. H. Backman
BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale. PLoS Comput. Biol. 19(11) (2023) - 2022
- [j3]Christina Schenk
Existence, Uniqueness, and Numerical Modeling of Wine Fermentation Based on Integro-Differential Equations. SIAM J. Appl. Math. 82(4): 1220-1245 (2022) - [i2]Christina Schenk, David Portillo, Ignacio Romero:
Mixed-dimensional linked models of diffusion: mathematical analysis and stable finite element discretizations. CoRR abs/2208.07600 (2022) - 2021
- [i1]Christina Schenk
Existence, Uniqueness and Numerical Modeling of Wine Fermentation Based on Integro-Differential Equations. CoRR abs/2104.06777 (2021) - 2020
- [j2]Christina Schenk
Introducing KIPET: A novel open-source software package for kinetic parameter estimation from experimental datasets including spectra. Comput. Chem. Eng. 134: 106716 (2020) - [j1]Jonas Müller
Optimization of an externally mixed biogas plant using a robust CFD method. Comput. Electron. Agric. 171: 105294 (2020)
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