Introducing KIPET: A novel open-source software package for kinetic parameter estimation from experimental datasets including spectra. - Christina Schenk; Michael Short 003; Jose S. Rodriguez; David M. Thierry; Lorenz T. Biegler; Salvador García Muñoz; Weifeng Chen (Comput. Chem. Eng., 2020)

Optimization of an externally mixed biogas plant using a robust CFD method. - Jonas Müller; Christina Schenk; Rainer Keicher; Dominik Schmidt; Volker Schulz 001; Kai Velten (Comput. Electron. Agric., 2020)

Mixed-dimensional linked models of diffusion: mathematical analysis and stable finite element discretizations. - Christina Schenk; David Portillo; Ignacio Romero (CoRR, 2022)

Existence, Uniqueness, and Numerical Modeling of Wine Fermentation Based on Integro-Differential Equations. - Christina Schenk; Volker H. Schulz (SIAM J. Appl. Math., 2022)

Reducing model complexity by means of the optimal scaling: Population balance model for latex particles morphology formation. - Simone Rusconi; Christina Schenk; Arghir Zarnescu; Elena V. Akhmatskaya (Appl. Math. Comput., 2023)

BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale. - Tyler W. H. Backman; Christina Schenk; Tijana Radivojevic; David Ando; Jahnavi Singh; Jeffrey J. Czajka; Zak Costello; Jay D. Keasling; Yinjie Tang; Elena V. Akhmatskaya; Héctor García Martín (PLoS Comput. Biol., 2023)

Model-Based Reinforcement Learning Control of Reaction-Diffusion Problems. - Christina Schenk; Aditya Vasudevan; Maciej Haranczyk; Ignacio Romero (CoRR, 2024)