Peter J. Schmid

20 papers Journal 20
YearRankTypeTitle / Venue / Authors
2025 J jnl
An adaptive learning strategy for surrogate modeling of high-dimensional functions - Application to unsteady hypersonic flows in chemical nonequilibrium.
Comput. Phys. Commun.
Clément Scherding, Georgios Rigas, Denis Sipp, Peter J. Schmid, Taraneh Sayadi
2025 J jnl
Sliding plane formalism for aeroacoustic and adjoint-based sensitivity calculations.
Comput. Phys. Commun.
Anton Glazkov, Miguel Fosas de Pando, Peter J. Schmid, Li He
2024 J jnl
A robust computational framework for variational data assimilation of mean flows with sparse measurements corrupted by strong outliers.
J. Comput. Phys.
Souvik Ghosh, Vincent Mons, Denis Sipp, Peter J. Schmid
2023 J jnl
Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder.
CoRR
Priyam Gupta, Peter J. Schmid, Denis Sipp, Taraneh Sayadi, Georgios Rigas
2023 J jnl
RONAALP: Reduced-Order Nonlinear Approximation with Active Learning Procedure.
CoRR
Clément Scherding, Georgios Rigas, Denis Sipp, Peter J. Schmid, Taraneh Sayadi
2022 J jnl
Data-driven framework for input/output lookup tables reduction - with application to hypersonic flows in chemical non-equilibrium.
CoRR
Clément Scherding, Georgios Rigas, Denis Sipp, Peter J. Schmid, Taraneh Sayadi
2022 J jnl
Parallel-in-time adjoint-based optimization - application to unsteady incompressible flows.
J. Comput. Phys.
S. Costanzo, Taraneh Sayadi, Miguel Fosas de Pando, Peter J. Schmid, P. Frey
2021 J jnl
A parallel-in-time approach for accelerating direct-adjoint studies.
J. Comput. Phys.
Calum S. Skene, Maximilian F. Eggl, Peter J. Schmid
2021 J jnl
Symmetry-Aware Autoencoders: s-PCA and s-nlPCA.
CoRR
Simon Kneer, Taraneh Sayadi, Denis Sipp, Peter J. Schmid, Georgios Rigas
2020 J jnl
Nonlinear model reduction: a comparison between POD-Galerkin and POD-DEIM methods.
CoRR
Denis Sipp, Miguel Fosas de Pando, Peter J. Schmid
2018 J jnl
A gradient-based framework for maximizing mixing in binary fluids.
J. Comput. Phys.
Maximilian F. Eggl, Peter J. Schmid
2016 J jnl
Nonlinear model-order reduction for compressible flow solvers using the Discrete Empirical Interpolation Method.
J. Comput. Phys.
Miguel Fosas de Pando, Peter J. Schmid, Denis Sipp
2013 J jnl
Erratum: Hybrid Reduced-Order Integration with Proper Orthogonal Decomposition and Dynamic Mode Decomposition.
Multiscale Model. Simul.
Matthew O. Williams, Peter J. Schmid, J. Nathan Kutz
2013 J jnl
Hybrid Reduced-Order Integration with Proper Orthogonal Decomposition and Dynamic Mode Decomposition.
Multiscale Model. Simul.
Matthew O. Williams, Peter J. Schmid, J. Nathan Kutz
2012 J jnl
A relaxation method for large eigenvalue problems, with an application to flow stability analysis.
J. Comput. Phys.
Xavier Garnaud, Lutz Lesshafft, Peter J. Schmid, J.-M. Chomaz
2012 J jnl
Adjoint algorithms for the Navier-Stokes equations in the low Mach number limit.
J. Comput. Phys.
Gary J. Chandler, Matthew P. Juniper, Joseph W. Nichols, Peter J. Schmid
2012 J jnl
Efficient evaluation of the direct and adjoint linearized dynamics from compressible flow solvers.
J. Comput. Phys.
Miguel Fosas de Pando, Denis Sipp, Peter J. Schmid
2011 J jnl
Iterative optimization based on an objective functional in frequency-space with application to jet-noise cancellation.
J. Comput. Phys.
Jan Schulze, Peter J. Schmid, Jörn Sesterhenn
2010 J jnl
A preconditioned Krylov technique for global hydrodynamic stability analysis of large-scale compressible flows.
J. Comput. Phys.
Christoph J. Mack, Peter J. Schmid
1993 J jnl
Pseudospectra of the Orr-Sommerfeld Operator.
SIAM J. Appl. Math.
Satish C. Reddy, Peter J. Schmid, Dan S. Henningson