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René Schenkendorf
René Schenkendorf
Professor of Smart Manufacturing/Industrie4.0 at ▲Harz University of Applied Sciences
Verified email at hs-harz.de - Homepage
Title
Cited by
Cited by
Year
Optimal experimental design with the sigma point method
R Schenkendorf, A Kremling, M Mangold
IET systems biology 3 (1), 10-23, 2009
1032009
Model-based tools for optimal experiments in bioprocess engineering
V Abt, T Barz, MN Cruz-Bournazou, C Herwig, P Kroll, J Möller, R Pörtner, ...
Current opinion in chemical engineering 22, 244-252, 2018
732018
Efficient global sensitivity analysis of 3D multiphysics model for Li-ion batteries
N Lin, X Xie, R Schenkendorf, U Krewer
Journal of The Electrochemical Society 165 (7), A1169, 2018
542018
Design of fuel cell systems for aviation: representative mission profiles and sensitivity analyses
T Kadyk, R Schenkendorf, S Hawner, B Yildiz, U Römer
Frontiers in Energy Research 7, 35, 2019
472019
The impact of global sensitivities and design measures in model-based optimal experimental design
R Schenkendorf, X Xie, M Rehbein, S Scholl, U Krewer
Processes 6 (4), 27, 2018
432018
State-of-health identification of lithium-ion batteries based on nonlinear frequency response analysis: First steps with machine learning
N Harting, R Schenkendorf, N Wolff, U Krewer
Applied Sciences 8 (5), 821, 2018
422018
Model‐Based Uncertainty Quantification for the Product Properties of Lithium‐Ion Batteries
V Laue, O Schmidt, H Dreger, X Xie, F Röder, R Schenkendorf, A Kwade, ...
Energy Technology 8 (2), 1900201, 2020
292020
Model-based optimization of biopharmaceutical manufacturing in Pichia pastoris based on dynamic flux balance analysis
VN Emenike, R Schenkendorf, U Krewer
Computers & Chemical Engineering 118, 1-13, 2018
292018
Parameter Identification for Ordinary and Delay Differential Equations by Using Flat Inputs
R Schenkendorf, M Mangold
Theoretical Foundations of Chemical Engineering, 2014
272014
A systematic reactor design approach for the synthesis of active pharmaceutical ingredients
VN Emenike, R Schenkendorf, U Krewer
European Journal of Pharmaceutics and Biopharmaceutics 126, 75-88, 2018
252018
Two state estimators for the barium sulfate precipitation in a semi-batch reactor
M Mangold, A Bück, R Schenkendorf, C Steyer, A Voigt, K Sundmacher
Chemical Engineering Science 64 (4), 646-660, 2009
252009
Robust process design in pharmaceutical manufacturing under batch-to-batch variation
X Xie, R Schenkendorf
Processes 7 (8), 509, 2019
242019
Robust dynamic optimization of enzyme-catalyzed carboligation: A point estimate-based back-off approach
VN Emenike, X Xie, R Schenkendorf, AC Spiess, U Krewer
Computers & Chemical Engineering 121, 232-247, 2019
212019
Improved railway track irregularities classification by amodel inversion approach
R Schenkendorf, B Dutschk, K Lüddecke, JC Groos
PHM Society European Conference 3 (1), 2016
212016
Working within the design space: do our static process characterization methods suffice?
M von Stosch, R Schenkendorf, G Geldhof, C Varsakelis, M Mariti, ...
Pharmaceutics 12 (6), 562, 2020
202020
Optimal experimental design for parameter identification and model selection
R Schenkendorf
Otto-von-Guericke-Universität Magdeburg, 2014
192014
Efficient sensitivity analysis and interpretation of parameter correlations in chemical engineering
X Xie, R Schenkendorf, U Krewer
Reliability Engineering & System Safety 187, 159-173, 2019
182019
Global sensitivity methods for design of experiments in lithium-ion battery context
A Pozzi, X Xie, DM Raimondo, R Schenkendorf
IFAC-PapersOnLine 53 (2), 7248-7255, 2020
172020
Robust optimization of dynamical systems with correlated random variables using the point estimate method
X Xie, U Krewer, R Schenkendorf
IFAC-PapersOnLine 51 (2), 427-432, 2018
162018
A General Framework for Uncertainty Propagation Based on Point Estimate Methods
R Schenkendorf
PHME 14, 2014
162014
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Articles 1–20