S. Treibert, H. Brunner and M. Ehrhardt, "Compartment models for vaccine effectiveness and non-specific effects for Tuberculosis", Mathematical Biosciences and Engineering, vol. 16, no. 6, pp. 7250–7298, 2019. AIMS Press.

I. Kossaczky, M. Ehrhardt and M. Günther, "The two-dimensional tree-grid method", Journal of Computational Finance, vol. 23, no. 2, pp. 29–57, 2019. Incisive Media.

M. Ehrhardt and C. Vázquez, "Pricing swing options in electricity markets with two stochastic factors: PIDE modeling and numerical solution" in 3rd International Conference on Computational Finance (ICCF2019), Universidade da Coruña, 2019, pp. 89–90.

M. Wandelt, M. Günther and M. Muniz, "Geometric integration on Lie groups using the Cayley transform with focus on Lattice QCD", Journal of Computational and Applied Mathematics, vol. 387, pp. 112495, 2019. Elsevier.

P. Putek, "Nonlinear magnetoquasistatic interface problem in a permanent-magnet machine with stochastic partial differential equation constraints", Engineering Optimization, vol. 51, no. 12, pp. 2169–2192, 2019. Taylor & Francis.

E. Calore and A. Gabbana, "Early experience on using knights landing processors for lattice Boltzmann applications" in Parallel Processing and Applied Mathematics, Wyrzykowski, Roman and Dongarra, Jack and Deelman, Ewa and Karczewski, Konrad, Eds. Springer Cham, 2018, pp. 519–530.

A. Gabbana, M. Mendoza, S. Succi and R. Tripiccione, "Numerical evidence of electron hydrodynamic whirlpools in graphene samples", Computers & Fluids, vol. 172, pp. 644–650, 2018. Elsevier.

A. Gabbana, M. Polini, S. Succi, R. Tripiccione and F. M. D. Pellegrino, "Prospects for the detection of electronic preturbulence in graphene", Phys. Rev. Lett., vol. 121, pp. 236602, 2018. American Physical Society.

E. Calore and A. Gabbana, "Software and DVFS tuning for performance and energy-efficiency on Intel KNL processors", Journal of Low Power Electronics and Applications, vol. 8, no. 2, 2018. MDPI.

E. Calore and A. Gabbana, "Energy-efficiency evaluation of Intel KNL for HPC workloads" in Parallel Computing is Everywhere, IOS Press, 2018, pp. 733–742.

E. Calore and A. Gabbana, "Design and optimizations of lattice Boltzmann methods for massively parallel GPU-based blusters" in Analysis and Applications of Lattice Boltzmann Simulations, IGI Global, 2018, pp. 54–114.

A. Bartel and M. Ehrhardt, "A numerical tool for the study of the hydrodynamic recovery of the lattice Boltzmann Method", Computers & Fluids, vol. 172, pp. 241–250, 2018. Pergamon.

A. Bartel and M. Günther, "PDAEs in refined electrical network modeling", SIAM Review, vol. 60, no. 1, pp. 56–91, 2018. Society for Industrial and Applied Mathematics.

C. Hachtel, J. Kerler-Back, A. Bartel, M. Günther and T. Stykel, "Multirate DAE/ODE-simulation and model order reduction for coupled field-circuit systems" in Scientific Computing in Electrical Engineering: SCEE 2016, St. Wolfgang, Austria, October 2016, Langer, Ulrich and Amrhein, Wolfgang and Zulehner, Walter, Eds. Springer Cham, 2018, pp. 91–100.

K. Gausling and A. Bartel, "Density estimation techniques in cosimulation using Spectral-and Kernel methods" in Scientific Computing in Electrical Engineering: SCEE 2016, St. Wolfgang, Austria, October 2016, Langer, Ulrich and Amrhein, Wolfgang and Zulehner, Walter, Eds. Springer Cham, 2018, pp. 81–89.

P. Putek, R. Janssen, J. Niehof, E. J. W. Maten, R. Pulch, M. Günther and B. Tasic, "Robust optimization of an RFIC isolation problem under uncertainties" in Scientific Computing in Electrical Engineering, Langer, Ulrich and Amrhein, Wolfgang and Zulehner, Walter, Eds. Springer Cham, 2018, pp. 177–186.

P. Putek, R. Janssen, J. Niehof, E. J. W. Maten, R. Pulch, B. Tasic and M. Günther, "Nanoelectronic COupled problems solutions: Uncertainty quantification for analysis and optimization of an RFIC interference problem", Journal of Mathematics in Industry, vol. 8, no. 1, pp. 1–19, 2018. Springer Verlag.

P. Putek, R. Janssen, J. Niehof, E. J. W. Maten, R. Pulch, B. Tasic and M. Günther, "Nanoelectronic coupled problems solutions: Uncertainty quantification of RFIC interference" in Progress in Industrial Mathematics at ECMI 2016, Quintela, Peregrina and Barral, Patricia and Gómez, Dolores and Pena, Francisco J. and Rodríguez, Jerónimo and Salgado, Pilar and Vázquez-Mendéz, Miguel E., Eds. Springer Cham, 2018, pp. 271–279.

P. A. Putek, E. J. W. Maten, M. Günther and J. K. Sykulski, "Variance-based robust optimization of a permanent magnet synchronous machine", IEEE Transactions on Magnetics, vol. 54, no. 3, pp. 1–4, 2018. IEEE.

T. G. J. Beelen, J. J. Dohmen, E. J. W. Maten and B. Tasic, "Fitting generalized gaussian distributions for process capability index" in Scientific Computing in Electrical Engineering, Langer, Ulrich and Amrhein, Wolfgang and Zulehner, Walter, Eds. Springer Cham, 2018, pp. 169–176.