Sebastian Peitz
Statistical and Nonlinear Physics · 2019–2023
A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 34 citations into it
- Artificial Intelligence — 14 citations into it
- Computational Mechanics — 13 citations into it
- Molecular Biology — 13 citations into it
- Control and Systems Engineering — 10 citations into it
- Atomic and Molecular Physics, and Optics — 7 citations into it
- Materials Chemistry — 6 citations into it
Whom Sebastian Peitz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Steven L. Brunton
- J. Nathan Kutz
- Feliks Nuske
- Milan Korda
- Frank No'e
- Stefan Klus
- Joshua L. Proctor
- Hao Wu
- Matthew O. Williams
- Igor Mezi'c
Papers from Sebastian Peitz's perspective
Ordered by how strongly the researchers Sebastian Peitz trusts endorse each paper. Same corpus, a different order for every researcher.
- On dynamic mode decomposition: Theory and applications
- A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition (Journal of nonlinear science)
- Dynamic mode decomposition of numerical and experimental data
- On the numerical approximation of the Perron-Frobenius and Koopman operator
- Dynamic Mode Decomposition with Control (SIAM Journal on Applied Dynamical Systems)
- Discovering governing equations from data by sparse identification of nonlinear dynamical systems
- Koopman Invariant Subspaces and Finite Linear Representations of Nonlinear Dynamical Systems for Control (PLoS ONE)
- On Convergence of Extended Dynamic Mode Decomposition to the Koopman Operator
- A Variational Approach to Modeling Slow Processes in Stochastic Dynamical Systems
- Variational Approach to Molecular Kinetics. (Journal of Chemical Theory and Computation)
Their papers
- Data-driven approximation of the Koopman generator: Model reduction, system identification, and control (2019) — 310 citations
- Error bounds for kernel-based approximations of the Koopman operator (2023) — 53 citations