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Christina Schenk
Christina Schenk
IMDEA Materials Institute
Verifisert e-postadresse på imdea.org
Tittel
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Sitert av
År
Less cooling energy in wine fermentation–A case study in mathematical modeling, simulation and optimization
C Schenk, V Schulz, A Rosch, C von Wallbrunn
Food and Bioproducts Processing 103, 131-138, 2017
192017
Novel model for wine fermentation including the yeast dying phase
A Borzì, J Merger, J Müller, A Rosch, C Schenk, D Schmidt, S Schmidt, ...
arXiv preprint arXiv:1412.6068, 2014
92014
Introducing KIPET: A novel open-source software package for kinetic parameter estimation from experimental datasets including spectra
C Schenk, M Short, JS Rodriguez, D Thierry, LT Biegler, S García-Muñoz, ...
Computers & Chemical Engineering 134, 106716, 2020
72020
Optimization of an externally mixed biogas plant using a robust CFD method
J Müller, C Schenk, R Keicher, D Schmidt, V Schulz, K Velten
Computers and Electronics in Agriculture 171, 105294, 2020
62020
Energy-optimal control of temperature for wine fermentation based on a novel model including the yeast dying phase
C Schenk, V Schulz
IFAC-PapersOnLine 48 (23), 452-457, 2015
62015
KIPET–An Open-Source Kinetic Parameter Estimation Toolkit
M Short, C Schenk, D Thierry, JS Rodriguez, LT Biegler, S Garcia-Muñoz
Computer Aided Chemical Engineering 47, 299-304, 2019
52019
A High-Quality Genome-Scale Model for Rhodococcus opacus Metabolism
GW Roell, C Schenk, WE Anthony, RR Carr, A Ponukumati, J Kim, ...
ACS synthetic biology 12 (6), 1632-1644, 2023
32023
Kinetic Parameter Estimation from Spectroscopic Data for a Multi-Stage Solid–Liquid Pharmaceutical Process
C Schenk, LT Biegler, L Han, J Mustakis
Organic Process Research & Development 25 (3), 373-383, 2020
32020
Modeling, Simulation and Optimization of Wine Fermentation
C Schenk
32018
Novel Model for Wine Fermentation Including the Yeast Dying Phase, ArXiv-Preprint
A Borzì, J Merger, J Müller, A Rosch, C Schenk, S Schmidt, V Schulz, ...
22014
BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale
TWH Backman, C Schenk, T Radivojevic, D Ando, J Singh, JJ Czajka, ...
PLOS Computational Biology 19 (11), e1011111, 2023
12023
Linking discrete and continuum diffusion models: Well‐posedness and stable finite element discretizations
C Schenk, D Portillo, I Romero
International Journal for Numerical Methods in Engineering, 2023
12023
Existence, Uniqueness, and Numerical Modeling of Wine Fermentation Based on Integro-Differential Equations
C Schenk, VH Schulz
SIAM Journal on Applied Mathematics 82 (4), 1220-1245, 2022
12022
Review of Pyomo: Optimization Modeling in Python
C Schenk
SIAM Review Vol. 61, Issue 1 (March 2019) 61 (1), 209-225, 2019
1*2019
Model-Based Reinforcement Learning Control of Reaction-Diffusion Problems
C Schenk, A Vasudevan, M Haranczyk, I Romero
arXiv preprint arXiv:2402.14446, 2024
2024
Connecting beams and continua: variational basis and mathematical analysis
I Romero, C Schenk
Meccanica 58 (10), 1973-1982, 2023
2023
Reducing model complexity by means of the optimal scaling: Population balance model for latex particles morphology formation
S Rusconi, C Schenk, A Zarnescu, E Akhmatskaya
Applied Mathematics and Computation 443, 127756, 2023
2023
Robotically automated 3D printing and testing of thermoplastic material specimens
M Hernández-del-Valle, C Schenk, L Echevarría-Pastrana, B Ozdemir, ...
Digital Discovery 2 (6), 1969-1979, 2023
2023
A Genome Scale Model for Prediction of Growth Rates and Fluxes for Rhodococcus Opacus PD630 Metabolism
G Roell, C Schenk, W Anthony, R Carr, G Dantas, Y Tang, TS Moon, ...
2022 AIChE Annual Meeting, 2022
2022
Mixed-dimensional linked models of diffusion: mathematical analysis and stable finite element discretizations
C Schenk, D Portillo, I Romero
arXiv e-prints, arXiv: 2208.07600, 2022
2022
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Artikler 1–20