| Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms P Benner, P Goyal, B Kramer, B Peherstorfer, K Willcox Computer Methods in Applied Mechanics and Engineering 372, 113433, 2020 | 124 | 2020 |
| -Quasi-Optimal Model Order Reduction for Quadratic-Bilinear Control Systems P Benner, P Goyal, S Gugercin SIAM Journal on Matrix Analysis and Applications 39 (2), 983-1032, 2018 | 119 | 2018 |
| Balanced truncation for quadratic-bilinear control systems P Benner, P Goyal Advances in Computational Mathematics 50 (4), 88, 2024 | 69 | 2024 |
| Discovery of nonlinear dynamical systems using a Runge–Kutta inspired dictionary-based sparse regression approach P Goyal, P Benner Proceedings of the Royal Society A 478 (2262), 20210883, 2022 | 55 | 2022 |
| An artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials MS Khorrami, JR Mianroodi, NH Siboni, P Goyal, B Svendsen, P Benner, ... npj Computational Materials 9 (1), 37, 2023 | 48 | 2023 |
| Interpolation-based model order reduction for polynomial systems P Benner, P Goyal SIAM Journal on Scientific Computing 43 (1), A84-A108, 2021 | 46* | 2021 |
| Identification of port-Hamiltonian systems from frequency response data P Benner, P Goyal, P Van Dooren Systems & Control Letters 143, 104741, 2020 | 46 | 2020 |
| Moment‐matching based model reduction for Navier–Stokes type quadratic‐bilinear descriptor systems MI Ahmad, P Benner, P Goyal, J Heiland ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte …, 2017 | 33* | 2017 |
| Time-limited H2-optimal model order reduction P Goyal, M Redmann Applied Mathematics and Computation 355, 184-197, 2019 | 32* | 2019 |
| Krylov subspace-based model reduction for a class of bilinear descriptor systems MI Ahmad, P Benner, P Goyal Journal of Computational and Applied Mathematics 315, 303-318, 2017 | 32 | 2017 |
| Operator inference and physics-informed learning of low-dimensional models for incompressible flows P Benner, P Goyal, J Heiland, IP Duff arXiv preprint arXiv:2010.06701, 2020 | 31 | 2020 |
| Occamnet: A fast neural model for symbolic regression at scale O Dugan, R Dangovski, A Costa, S Kim, P Goyal, J Jacobson, M Soljačić arXiv preprint arXiv:2007.10784, 2020 | 30 | 2020 |
| Learning reduced‐order dynamics for parametrized shallow water equations from data S Yıldız, P Goyal, P Benner, B Karasözen International Journal for Numerical Methods in Fluids 93 (8), 2803-2821, 2021 | 29 | 2021 |
| Gramians, energy functionals, and balanced truncation for linear dynamical systems with quadratic outputs P Benner, P Goyal, IP Duff IEEE Transactions on Automatic Control 67 (2), 886-893, 2021 | 27 | 2021 |
| POD-DEIM for efficient reduction of a dynamic 2D catalytic reactor model J Bremer, P Goyal, L Feng, P Benner, K Sundmacher Computers & Chemical Engineering 106, 777-784, 2017 | 26 | 2017 |
| Truncated Gramians for bilinear systems and their advantages in model order reduction P Benner, P Goyal, M Redmann Model reduction of parametrized systems, 285-300, 2017 | 26 | 2017 |
| Neural ordinary differential equations with irregular and noisy data P Goyal, P Benner Royal Society Open Science 10 (7), 221475, 2023 | 25* | 2023 |
| Guaranteed stable quadratic models and their applications in SINDy and operator inference P Goyal, IP Duff, P Benner arXiv preprint arXiv:2308.13819, 2023 | 19 | 2023 |
| Tomographic X-ray scattering based on invariant reconstruction: analysis of the 3D nanostructure of bovine bone P De Falco, R Weinkamer, W Wagermaier, C Li, T Snow, NJ Terrill, ... Applied Crystallography 54 (2), 486-497, 2021 | 19 | 2021 |
| Balanced truncation for a special class of bilinear descriptor systems IP Duff, P Goyal, P Benner IEEE Control Systems Letters 3 (3), 535-540, 2019 | 19 | 2019 |
Peter BennerMax Planck Institute for Dynamics of Complex Technical SystemsVerified email at mpi-magdeburg.mpg.de