Scientific Publications

Alavia, W.; Seidel-Morgenstern, A.; Hermsdorf, D.; Lorenz, H.; Graber, T. A.: Real-Time Crystal Growth Monitoring of Boric Acid from Sodium or Lithium Sulfate Containing Aqueous Solutions by Atomic Force Microscopy. ACS Omega (2023)

Aumann, Q.; Werner, S. W. R.: Structured Model Order Reduction for Vibro-Acoustic Problems using Interpolation and Balancing Methods. Journal of Sound and Vibration 543, 117363 (2023)

Barrera, J.; H. Haeri, H.; Heinrich, J.; Stein, M.; Hinderberger, D.; Kulak, N.: Impact of N-heteroaromatic N-termini in Cu(ii) ATCUN metallopeptides on their biorelevant redox activity. Dalton Transactions 52 (11), pp. 3279 - 3286 (2023)

Benner, P.; Chuiko, S.; Nesmelova, O.: Least Squares Method in the Theory of Nonlinear Boundary-Value Problems unsolved with Respect to the Derivative. Ukrainian Mathematical Journal (accepted)

Benner, P.; Chuiko, S.; Zuyev, A.: Iterative Schemes for Periodic Boundary Value Problems with Switchings. Nonlinear Oscillations 26 (1), pp. 6 - 21 (2023)

Benner, P.; Heiland, J.: Space and Chaos-Expansion Galerkin POD Low-order Discretization of PDEs for Uncertainty Quantification. International Journal for Numerical Methods in Engineering (2023)

Benner, P.; Heiland, J.; Werner, S. W. R.: A Low-Rank Solution Method for Riccati Equations with Indefinite Quadratic Terms. Numerical Algorithms 92, pp. 1083 - 1103 (2023)

Benner, P.; Palitta, D.; Saak, J.: On an integrated Krylov-ADI Solver for Large-Scale Lyapunov Equations. Numerical Algorithms 92, pp. 35 - 63 (2023)

Burock, R.; Cajic, S.; Hennig, R.; Buettner, F. F. R.; Reichl, U.; Rapp, E.: Reliable N-Glycan Analysis–Removal of Frequently Occurring Oligosaccharide Impurities by Enzymatic Degradation. Molecules 28 (4), 1843 (2023)

Creutznacher, R.; Schulze-Niemand, E.; König, P.; Stanojlovic, V.; Mallagaray, A.; Peters, T.; Stein, M.; Schubert, M.: Conformational Control of Fast Asparagine Deamidation in a Norovirus Capsid Protein. Biochemistry 62 (5), pp. 1032 - 1043 (2023)

Erxleben, T.; Duwe, K.; Saak, J.; Köhler, M.; Kuhn, M.: Green Storage: Parallel File Systems on ARM. International Journal On Advances in Software (accepted)

Feng, L.: Predicting Output Responses of Nonlinear Dynamical Systems with Parametrized Inputs using LSTM. IEEE Journal on Multiscale and Multiphysics Computational Techniques 8, pp. 97 - 107 (2023)

Franz, T.; Papakonstantinou, G.; Sundmacher, K.: Transient hydrogen crossover in dynamically operated PEM water electrolysis cells - A model-based analysis. Journal of Power Sources 559, 232582 (2023)

Gerlach, M.; Jameel, F.; Seidel-Morgenstern, A.; Stein, M.; Hamel, C.: Operando characterization of rhodium catalyst degradation in hydroformylation. Catalysis Science & Technology 13 (6), pp. 1788 - 1801 (2023)

Göbel, S.; Jaén, K. E.; Dorn, M.; Neumeyer, V.; Jordan, I.; Sandig, V.; Reichl, U.; Altomonte, J.; Genzel, Y.: Process intensification strategies toward cell culture‐based high‐yield production of a fusogenic oncolytic virus. Biotechnology and Bioengineering (2023)

Ilter, M.; Schulze-Niemand, E.; Naumann, M.; Stein, M.: Structural Dynamics of Lys11-Selective Deubiquitinylase Cezanne-1 during the Catalytic Cycle. Journal of Chemical Information and Modeling (2023)

Khorrami, M. S.; Mianroodi, J. R.; Siboni, N. H.; Goyal, P. K.; Svendsen, B.; Benner, P.; Raabe, D.: An Artificial Neural Network for Surrogate Modeling of Stress Fields in Viscoplastic Polycrystalline Materials. npj Computational Materials (accepted)

König-Mattern, L.; Komarova, A. O.; Ghosh, A.; Linke, S.; Rihko-Struckmann, L.; Luterbacher, J.; Sundmacher, K.: High-throughput computational solvent screening for lignocellulosic biomass processing. Chemical Engineering Journal 452, 139476 (2023)

Kortuz, W.; Kirschtowski, S.; Seidel-Morgenstern, A.; Hamel, C.: Mechanistic kinetic modeling of the rhodium-catalyzed tandem hydroaminomethylation of 1-decene in a thermomorphic solvent system. Catalysis Communications 177, 106633 (2023)

Kour, K.; Dolgov, S.; Stoll, M.; Benner, P.: Efficient Structure-preserving Support Tensor Train Machine. Journal of Machine Learning Research 24 (4), pp. 1 - 22 (2023)