Dr Maximilian Gelbrecht

PostDoc at TU Munich and PIK FutureLab Artificial Intelligence in the Anthropocene

Former PhD Student in RD4 / HU Berlin IRTG 1740

Network Science, Dynamical Systems and Machine Learning

Currently working on the application of Neural Partial Differential Equations to Atmospheric Dynamics

• Maximilian Gelbrecht, Niklas Boers, Jürgen Kurths: "Neural Partial Differential Equations for Chaotic Systems",  In: New Journal of Physics (2021) https://doi.org/10.1088/1367-2630/abeb90 (Open Access)
• Maximilian Gelbrecht, Valerio Lucarini, Niklas Boers, and Jürgen Kurths. “Analysis of a bistable climate toy model with physics-based machine learning methods”.  arXiv:2011.12227
• Nico Wunderling, Maximilian Gelbrecht, Ricarda Winkelmann, Jürgen Kurths, and Jonathon F Donges. “Basin stability and limit cycles in a conceptual model for climate tipping cascades”. In: New Journal of Physics (2020) (Open Access)
• Maximilian Gelbrecht, Jürgen Kurths, and Frank Hellmann. “Monte Carlo basin bifurcation analysis”. In: New Journal of Physics 22.3 (Mar. 2020), p. 033032 (https://github.com/maximilian-gelbrecht/MCBB.jl) (Open Access)
• Maximilian Gelbrecht, Niklas Boers, and Jürgen Kurths. “Phase coherence between precipitation in South America and Rossby waves”. In: Science Advances 4.12 (2018). (Open Access)
• Maximilian Gelbrecht, Niklas Boers, and Jürgen Kurths. “A complex network representation of wind flows”. In: Chaos: An Interdisciplinary Journal of Nonlinear Science 27.3 (2017), p. 035808