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Peter J. Schmid
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2020 – today
- 2024
- [j13]Souvik Ghosh
, Vincent Mons, Denis Sipp, Peter J. Schmid:
A robust computational framework for variational data assimilation of mean flows with sparse measurements corrupted by strong outliers. J. Comput. Phys. 508: 113008 (2024) - 2023
- [i5]Priyam Gupta, Peter J. Schmid, Denis Sipp, Taraneh Sayadi, Georgios Rigas:
Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder. CoRR abs/2310.10745 (2023) - [i4]Clément Scherding, Georgios Rigas, Denis Sipp, Peter J. Schmid, Taraneh Sayadi:
RONAALP: Reduced-Order Nonlinear Approximation with Active Learning Procedure. CoRR abs/2311.10550 (2023) - 2022
- [j12]S. Costanzo, Taraneh Sayadi
Parallel-in-time adjoint-based optimization - application to unsteady incompressible flows. J. Comput. Phys. 471: 111664 (2022) - [i3]Clément Scherding, Georgios Rigas, Denis Sipp, Peter J. Schmid, Taraneh Sayadi:
Data-driven framework for input/output lookup tables reduction - with application to hypersonic flows in chemical non-equilibrium. CoRR abs/2210.04269 (2022) - 2021
- [j11]Calum S. Skene
A parallel-in-time approach for accelerating direct-adjoint studies. J. Comput. Phys. 429: 110033 (2021) - [i2]Simon Kneer, Taraneh Sayadi, Denis Sipp, Peter J. Schmid, Georgios Rigas:
Symmetry-Aware Autoencoders: s-PCA and s-nlPCA. CoRR abs/2111.02893 (2021) - 2020
- [i1]Denis Sipp, Miguel Fosas de Pando, Peter J. Schmid:
Nonlinear model reduction: a comparison between POD-Galerkin and POD-DEIM methods. CoRR abs/2005.03173 (2020)
2010 – 2019
- 2018
- [j10]Maximilian F. Eggl
A gradient-based framework for maximizing mixing in binary fluids. J. Comput. Phys. 368: 131-153 (2018) - 2016
- [j9]Miguel Fosas de Pando
Nonlinear model-order reduction for compressible flow solvers using the Discrete Empirical Interpolation Method. J. Comput. Phys. 324: 194-209 (2016) - 2013
- [j8]Matthew O. Williams, Peter J. Schmid
Hybrid Reduced-Order Integration with Proper Orthogonal Decomposition and Dynamic Mode Decomposition. Multiscale Model. Simul. 11(2): 522-544 (2013) - [j7]Matthew O. Williams, Peter J. Schmid
Erratum: Hybrid Reduced-Order Integration with Proper Orthogonal Decomposition and Dynamic Mode Decomposition. Multiscale Model. Simul. 11(4): 1311 (2013) - 2012
- [j6]Gary J. Chandler, Matthew P. Juniper
Adjoint algorithms for the Navier-Stokes equations in the low Mach number limit. J. Comput. Phys. 231(4): 1900-1916 (2012) - [j5]Xavier Garnaud, Lutz Lesshafft
A relaxation method for large eigenvalue problems, with an application to flow stability analysis. J. Comput. Phys. 231(10): 3912-3927 (2012) - [j4]Miguel Fosas de Pando
Efficient evaluation of the direct and adjoint linearized dynamics from compressible flow solvers. J. Comput. Phys. 231(23): 7739-7755 (2012) - 2011
- [j3]Jan Schulze, Peter J. Schmid
Iterative optimization based on an objective functional in frequency-space with application to jet-noise cancellation. J. Comput. Phys. 230(15): 6075-6098 (2011) - 2010
- [j2]Christoph J. Mack, Peter J. Schmid
A preconditioned Krylov technique for global hydrodynamic stability analysis of large-scale compressible flows. J. Comput. Phys. 229(3): 541-560 (2010)
1990 – 1999
- 1993
- [j1]Satish C. Reddy, Peter J. Schmid
Pseudospectra of the Orr-Sommerfeld Operator. SIAM J. Appl. Math. 53(1): 15-47 (1993)
Coauthor Index
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