Dimitrios Giannakis, Ph.D.
Affiliations: | 2009 | Physics | University of Chicago, Chicago, IL |
Area:
Fluid and Plasma Physics, Astronomy and AstrophysicsGoogle:
"Dimitrios Giannakis"Parents
Sign in to add mentorRobert Rosner | grad student | 2009 | Chicago | |
(Instabilities in free-surface Hartmann flow at low magnetic Prandtl numbers.) |
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Publications
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Froyland G, Giannakis D, Lintner BR, et al. (2021) Spectral analysis of climate dynamics with operator-theoretic approaches. Nature Communications. 12: 6570 |
Wang X, Slawinska J, Giannakis D. (2020) Extended-range statistical ENSO prediction through operator-theoretic techniques for nonlinear dynamics. Scientific Reports. 10: 2636 |
Alexander R, Giannakis D. (2020) Operator-theoretic framework for forecasting nonlinear time series with kernel analog techniques Physica D: Nonlinear Phenomena. 409: 132520 |
Giannakis D, Das S. (2020) Extraction and prediction of coherent patterns in incompressible flows through space–time Koopman analysis Physica D: Nonlinear Phenomena. 402: 132211 |
Das S, Giannakis D. (2020) Koopman spectra in reproducing kernel Hilbert spaces Applied and Computational Harmonic Analysis. 49: 573-607 |
Giannakis D. (2019) Quantum mechanics and data assimilation. Physical Review. E. 100: 032207 |
Thiede EH, Giannakis D, Dinner AR, et al. (2019) Galerkin approximation of dynamical quantities using trajectory data. The Journal of Chemical Physics. 150: 244111 |
Giannakis D. (2019) Data-driven spectral decomposition and forecasting of ergodic dynamical systems Applied and Computational Harmonic Analysis. 47: 338-396 |
Das S, Giannakis D. (2019) Delay-Coordinate Maps and the Spectra of Koopman Operators Journal of Statistical Physics. 175: 1107-1145 |
Marrouch N, Slawinska J, Giannakis D, et al. (2019) Data-driven Koopman operator approach for computational neuroscience Annals of Mathematics and Artificial Intelligence. 1-19 |