Efficient Numerical Analysis in Complexity Science

Welcome Notes

In active matter also, clean, large-scale, honest numerics have been and still are at the leading edge of knowledge

Frustrated Synchronization of the Kuramoto Model on Complex Networks

Ordinal patterns as a tool to characterize time-series

Phase demodulation with iterative Hilbert transform embeddings

Measuring Dynamical Phase Transitions in Time Series

Modelling the collapse of complex societies

Translocation of DNA through nanopores

MPI-PKS Colloquium: Criticality in nature

Scale and Conformal Invariance in Active Flows

Routes from synchronization to incoherence in oscillatory networks

Non-Gaussianity and varying scaling exponents in long-range dependent motion

Bayesian inference with multifractional Brownian motion

Fast algorithm for Metropolis Monte Carlo simulations of long-range interacting systems

Triple Long Jump -- Predicting tipping and nonlinear responses of networks

Complexity and self-organization in a XY model of magnetic dipoles

Phase Transitions and Universal Behavior in Polymer Gels

Understanding brain dynamics in epilepsy

A Transfer Entropy Story

Quantifying collective synchrony while observing only several units

Efficient testing for chaos

High Precision Simulations of Even-Offspring Directed Percolation

The Strongly Connected Component (SCC) in isotropically oriented directed percolation

Role of entanglements in thin polymer films

Network approach to characterizing and quantifying space weather and its risks

Data-driven acceleration of semiconductor laser simulations with phonon coupling

Modeling connectome structure using avalanche-based models with Hebbian learning on hierarchical modular networks

Dynamics-informed neural networks for inference and control in complex systems: From regime change detection to biological adaptation

Quasi Long-range Order and Local Faceting in 1D Surface

Odor-enhanced visual processing in the human brain

Superstatistical Methods for Complex Systems

Nonlinear Time-Series Analysis of Ice-Core Data

Discrete synaptic events induce global oscillations in balanced neural networks

Statistical inference and stochastic modelling in climate: The example of the Hasselmann model