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Mitchell, T.: Convergence Rate Analysis and Improved Iterations for Numerical Radius Computation. SIAM Journal on Scientific Computing 45 (2), pp. A753 - A780 (2023)

Mitchell, T.: Fast Computation of Sepƛ via Interpolation-based Globality Certificates. Electronic Transactions on Numerical Analysis 58, pp. 402 - 431 (2023)

Mitchell, T.; Van Dooren, P.: Root-Max Problems, Hybrid Expansion-Contraction, and Quadratically Convergent Optimization of Passive Systems. SIAM journal on matrix analysis and applications 44 (2), pp. 753 - 780 (2023)

Morticelli, L.; Rossdam, C.; Cajic, S.; Böthig, D.; Magdei, M.; Tuladhar, S. R.; Petersen, B.; Fischer, K.; Rapp, E.; Korossis, S. et al.; Haverich, A.; Schnieke, A.; Niemann, H.; Buettner, F. F. R.; Hilfiker, A.: Genetic knockout of porcineGGTA1orCMAH/GGTA1is associated with the emergence of neo‐glycans. Xenotransplantation 30 (4), e12804 (2023)

Nateghi, V.; Manzi, M.: Machine learning methods for nonlinear dimensionality reduction of the thermospheric density field. Advances in Space Research 72 (10), pp. 4106 - 4114 (2023)

Nüske, F.; Klus, S.: Efficient Approximation of Molecular Kinetics using Random Fourier Features. The Journal of Chemical Physics 159 (7), 074105 (2023)

Nüske, F.; Peitz, S.; Philipp, F.; Schaller, M.; Worthmann, K.: Finite-data error bounds for Koopman-based prediction and control. Journal of Nonlinear Science 33, 14 (2023)

Offersgaard, A.; Duarte Hernandez, C. R.; Feng, S.; Marichal-Gallardo, P.; Holmbeck, K.; Pihl, A. F.; Fernandez-Antunez, C.; Peña Alzua, G.; Top Hartmann, K.; Pham, L. V. et al.; Zhou, Y.; Anbro Gammeltoft, K.; Fahnøe, U.; Schneider, U. V.; Pedersen, G. K.; Jensen, H. E.; Pravsgaard Christensen, J.; Ramirez, S.; Bukh, J.; Gottwein, J. M.: An inactivated SARS-CoV-2 vaccine induced cross-neutralizing persisting antibodies and protected against challenge in small animals. iScience 26 (2), 105949 (2023)

Otto, E.; Duerr, R.; Kienle, A.: Stability of Combined Continuous Granulation and Agglomeration Processes in a Fluidized Bed with Sieve-Mill-Recycle. Processes 11 (2), 473 (2023)

Pelz, L.; Piagnani, E.; Marsall, P.; Wynserski, N.; Hein, M. D.; Marichal-Gallardo, P.; Kupke, S. Y.; Reichl, U.: Broad-Spectrum Antiviral Activity of Influenza A Defective Interfering Particles against Respiratory Syncytial, Yellow Fever, and Zika Virus Replication In Vitro. Viruses 15 (9), 1872 (2023)

Peña Arias, I.; Hanke-Rauschenbach, R.; Sundmacher, K.: Electrochemical Performance of a Spatially Distributed ECPrOx Reactor. ECS Advances 2 (3), 034501 (2023)

Ponnudurai, A.; Schulze, P.; Seidel-Morgenstern, A.; Lorenz, H.: Fractionation and Absolute Molecular Weight Determination of Organosolv Lignin and Its Fractions: Analysis by a Novel Acetone-Based SEC─MALS Method. ACS Sustainable Chemistry & Engineering 11 (2), pp. 766 - 776 (2023)

Raabe, J.-C.; Esser, T.; Jameel, F.; Stein, M.; Albert, J.; Poller, M. J.: Study on the incorporation of various elements into the Keggin lacunary-type phosphomolybdate [PMo9O34]9−and subsequent purification of the polyoxometalates by nanofiltration. Inorganic Chemistry Frontiers 10 (16), pp. 4854 - 4868 (2023)

Rätze, K.; Kortuz, W.; Kirschtowski, S.; Jokiel, M.; Hamel, C.; Sundmacher, K.: Optimal experimental design for the identification of a reaction kinetic model for the hydroaminomethylation of 1-decene in a thermomorphic multiphase system. Chemical Engineering Journal 469, 143713 (2023)

Redmann, M.; Pontes Duff, I.: Model Order Reduction for Bilinear Systems with Non-Zero Initial States - different Approaches with Error Bounds. International Journal of Control 96 (6), pp. 1491 - 1504 (2023)

Rumpler, R.; Aumann, Q.: MWCAWE: A Multivariate WCAWE Approach for Parametric Model Order Reduction, and a Sampling Strategy for the Bivariate Case. Journal of Computational Physics 490, 112319 (2023)

Rüther, T.; Gosea, I. V.; Jahn, L.; Antoulas, A. C.; Danzer, M. A.: Introducing the Loewner Method as a Data-Driven and Regularization-Free Approach for the Distribution of Relaxation Times Analysis of Lithium-Ion Batteries. batteries 9 (2), 132 (2023)

Sanchez Medina, E. I.; Kunchapu, S.; Sundmacher, K.: Gibbs–Helmholtz Graph Neural Network for the Prediction of Activity Coefficients of Polymer Solutions at Infinite Dilution. The Journal of Physical Chemistry A 127, pp. 9863 - 9873 (2023)

Sanchez Medina, E. I.; Linke, S.; Stoll, M.; Sundmacher, K.: Gibbs–Helmholtz graph neural network: capturing the temperature dependency of activity coefficients at infinite dilution. Digital Discovery 2 (3), pp. 781 - 798 (2023)

Savchenko, M. O.; Skrypnik, I. I.; Yevgenieva, Y.: Continuity and Harnack Inequalities for Local Minimizers of Non Uniformly Elliptic Functionals with Generalized Orlicz Growth under the Non-logarithmic Conditions. Nonlinear Analysis, Theory, Methods and Applications 230, 113221 (2023)