Publications of Peter Benner
All genres
Editorial (25)
2006
Editorial
Benner, P., , , & (2006)Preface Special issue on “Order reduction of large-scale systems”Linear Algebra and its Applications, 415(2-3), 231–234doi: 10.1016/j.laa.2006.01.018.
Preprint (39)
2025
Preprint
Benner, P., , , & (in press)A Mesh-Free Hybrid Chebyshev-Tucker Tensor Format with Applications to Multi-Particle Modelling.
Preprint
Gkimisis, L., , , , Benner, P., & (in press)Non-Intrusive Reduced-Order Modeling for Dynamical Systems with Spatially Localized Features.
Preprint
Gkimisis, L., Pontes Duff, I., Goyal, P. K., & Benner, P. (in press)On the Representation of Energy-Preserving Quadratic Operators with Application to Operator Inference.
Preprint
, Benner, P., & (2025)Interpolatory H2-Optimality Conditions for Structured Linear Time-invariant SystemsSIAM Journal on Numerical Analysis.
Preprint
Monem Abdelhafez, S., Benner, P., & (in press)SIGGRAPH: G: Improved Projective Dynamics Global Using Snapshots-based Reduced Bases.
2024
Preprint
Baran, B., Benner, P., Saak, J., & (in press)Numerical Methods for Closed-Loop Systems with Non-Autonomous Data.
Preprint
Chellappa, S., Feng, L., & Benner, P. (in press)Discrete Empirical Interpolation in the Tensor t-Product Framework.
Preprint
Chellappa, S., Feng, L., & Benner, P. (in press)Discrete Empirical Interpolation in the Tensor t-Product Framework.
Preprint
Forootani, A. & Benner, P. (in press)GN-SINDy: Greedy Sampling Neural Network in Sparse Identification of Nonlinear Partial Differential Equations.
Preprint
Forootani, A., Kapadia, H., Chellappa, S., Goyal, P. K., & Benner, P. (in press)GS-PINN: Greedy Sampling for Parameter Estimation in Partial Differential Equations.
Preprint
, Goyal, P. K., , , Benner, P., & (in press)Divergence-free Neural Operators for Stress Field Modeling in Polycrystalline Materials.
Preprint
, Benner, P., & (in press)Interpolatory Necessary Optimality Conditions for Reduced-order Modeling of Parametric Linear Time-invariant Systems.
Preprint
, , , , Saak, J., Benner, P., & (2024)Training of Artificial Neural Networks with Reduced-Order Models for the Prediction of Thermal Errors on Machine ToolsResearch Squaredoi: 10.21203/rs.3.rs-4744195/v1.
Preprint
Peterson, L., Forootani, A., Sanchez Medina, E. I., Gosea, I. V., Sundmacher, K., & Benner, P. (2024)Towards Digital Twins for Power-to-X: Comparing Surrogate Models for a Catalytic CO2 Methanation ReactorTechRxivdoi: 10.36227/techrxiv.172263007.76668955/v1 .
Preprint
Przybilla, J., Pontes Duff, I., Goyal, P. K., & Benner, P. (in press)Balanced Truncation of Descriptor Systems with a Quadratic Output.
Preprint
Reddig, C., Goyal, P. K., Pontes Duff, I., & Benner, P. (in press)Active Sampling of Interpolation Points to Identify Dominant Subspaces for Model Reduction.
Preprint
Sun, S., Feng, L., & Benner, P. (in press)Data-Augmented Predictive Deep Neural Network: Enhancing the Extrapolation Capabilities of Non-Intrusive Surrogate Models.
Preprint
Veluvali, P., Heiland, J., & Benner, P. (in press)MaRDIFlow: A CSE Workflow Framework for Abstracting Meta-Data from FAIR Computational Experiments.
Preprint
Yevgenieva, Y., Zuyev, A., & Benner, P. (in press)Stability and Decay Rate Estimates for a Nonlinear Dispersed Flow Reactor Model with Boundary Control.