Paper

Below you have a list of publications referenced in this work.

[1]
B. Peherstorfer and K. Willcox. Data-Driven Operator Inference for Nonintrusive Projection-Based Model Reduction. Computer Methods in Applied Mechanics and Engineering 306, 196–215 (2016). ↩1 ↩2
[2]
H. Aref and P. K. Daripa. Note on Finite Difference Approximations to Burgers' Equation. SIAM Journal on Scientific and Statistical Computing 5, 856–864 (1984). ↩1
[3]
T. Koike and E. Qian. Energy-Preserving Reduced Operator Inference for Efficient Design and Control. In: AIAA SCITECH 2024 Forum (2024); p. 1012. ↩1
[4]
The MORwiki Community. FitzHugh-Nagumo System. MORwiki – Model Order Reduction Wiki (2018). ↩1
[5]
E. Qian, B. Kramer, B. Peherstorfer and K. Willcox. Lift & Learn: Physics-informed Machine Learning for Large-Scale Nonlinear Dynamical Systems. Physica D: Nonlinear Phenomena 406, 132401 (2020). ↩1 ↩2