Preprints

• J. Cao & J. Nick (2025).
  Exceptional point enhanced small particle detection in systems of subwavelength resonators.
  ETH Zürich, Seminar for Applied Mathematics, Research Reports.

• C. Lubich & J. Nick (2025).
  Regularized dynamical parametric approximation of stiff evolution problems.
  ETH Zürich, Seminar for Applied Mathematics, Research Reports.

• J. M. Melenk & J. Nick (2024).
  Parsimonious convolution quadrature.
  ETH Zürich, Seminar for Applied Mathematics, Research Reports.

• J. Nick, R. Hiptmair & H. Ammari (2024).
  Wave scattering with time-periodic coefficients: Energy estimates and harmonic formulations.
  ETH Zürich, Seminar for Applied Mathematics, Research Reports.

• M. Knöller & J. Nick (2024).
  The temporal domain derivative in inverse acoustic obstacle scattering.
  ETH Zürich, Seminar for Applied Mathematics, Research Reports.

• M. Feischl, C. Lasser, C. Lubich & J. Nick (2024).
  Regularized dynamical parametric approximation.
  ETH Zürich, Seminar for Applied Mathematics, Research Reports.

Publications

• J. Nick, S. Burkhard & C. Lubich (2024).
  Time-dependent electromagnetic scattering from dispersive materials.
  IMA Journal of Numerical Analysis, (electronically published) .

• J. Nick (2024).
  Numerical analysis for electromagnetic scattering with nonlinear boundary conditions.
  Mathematics of Computation, 93, 1529-1568.

• J. Nick, B. Kovács & C. Lubich (2022).
  Time-dependent electromagnetic scattering from thin layers.
  Numerische Mathematik, 150(4), 1123-1164.

• L. Banjai, C. Lubich & J. Nick (2022).
  Time-dependent acoustic scattering from generalized impedance boundary conditions via boundary elements and convolution quadrature.
  IMA Journal of Numerical Analysis, 42(1), 1-26.

• J. Nick, B. Kovács & C. Lubich (2021).
  Correction to: Stable and convergent fully discrete interior-exterior coupling of Maxwell's equations.
  Numerische Mathematik, 147(4), 997-1000.

Conference papers

• J. Werner, C. Gerum, J. Nick, M. Le Floch, F. Brinkmann, J. Hampe & O. Bringmann (2025).
  Enhanced Anomaly Detection for Capsule Endoscopy Using Ensemble Learning Strategies.
  Accepted at the 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS EMBC)

• J. Werner, C. Gerum, M. Reiber, J. Nick & O. Bringmann (2023). Precise localization within the GI tract by combining classification of CNNs and time-series analysis of HMMs.
  In Machine Learning in Medical Imaging (pp. 174-183). Cham: Springer Nature Switzerland.

• J. Schmidt, P. Hennig, J. Nick & F. Tronarp (2023).
  The rank-reduced Kalman filter: Approximate dynamical-low-rank filtering in high dimensions.
  Advances in Neural Information Processing Systems, 36, 61364-61376.

Dissertation

• J. Nick (2023).
  Wave scattering from nontrivial boundary conditions.
  Doctoral thesis, University of Tübingen.