Michel Lindner started his fellowship on 1 August 2019 in Prof. Dr. Dr. h. c. Eckehard Schöll's research group Nonlinear Dynamics and Control at Faculty II, Institute for Theoretical Physics
Research Project: "Exploring network dynamics with machine learning”
Mailing Address
Technische Universität Berlin
Sekretariat EW 7-1
Eugene-P.-Wigner-Gebäude
Hardenbergstraße 36
10623 Berlin
Office
Institut für Theoretische Physik
Hardenbergstraße 36
10623 Berlin
michallindner@pik-potsdam.de
Publications |
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Reprint: Lindner, Michael, et. al. "NetworkDynamics.jl – Composing and simulating complex networks in Julia". ArXiv (preprint) (2020). |
Lindner, Michael, and Frank Hellmann. "Stochastic basins of attraction and generalized committor functions."Physical Review E 100.2 (2019): 022124. |
Donner, Reik V., and Michael Lindner and Liubov Tupikina and Nora Molkenthin. "Characterizing flows by complex network methods."A Mathematical Modeling Approach from Nonlinear Dynamics to Complex Systems. Springer, Cham, 2019. 197-226. |
Lindner, Michael und Schuster, Antonia. "10 Fakten zum Klimawandel, die man sich merken kann" ZEIT Online (2018). |
Lindner, Michael, and Reik V. Donner. "Spatio-temporal organization of dynamics in a two-dimensional periodically driven vortex flow: A Lagrangian flow network perspective."Chaos: An Interdisciplinary Journal of Nonlinear Science 27.3 (2017): 035806. |
Conferences |
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JuliaCon 2020: Contributed talk on NetworkDynamics.jl -Modeling dynamical systems on networks (youtu.be/GrmnbDYr6mM). |
Degrowth Summer School 2018, ZEIT-Festival der jungen Visionäre 2018 und re:publica19: Workshop on ,Climate change, my friends and I: How our social environment influences our carbon footprint' |
PNLD 2016: Perspectives in Nonlinear Dynamics. Contributed talk o ‚Spatio-temporal organization of dynamics in a two-dimensional periodically driven vortex flow: a Lagrangian flow network perspective.' |
Conflow 2015: Complex network perspectives on flow systems. Contributed talk on ‚Lagrangian transport networks for simple geophysical flow models.‘.Supporting staff. |