Complexity Reduction Ansatz for Systems of Interacting Orientable Agents: Beyond the Kuramoto Model

Continuous versus Discontinuous Transitions in the D-Dimensional Generalized Kuramoto Model: Odd D Is Different

Observing Microscopic Transitions from Macroscopic Bursts: Instability-Mediated Resetting in the Incoherent Regime of the D-Dimensional Generalized Kuramoto Model

Inferring Models of Opinion Dynamics from Aggregated Jury Data

Using Machine Learning to Assess Short Term Causal Dependence and Infer Network Links

Adjoint Approach to Beam Optics Sensitivity Based on Hamiltonian Particle Dynamics

Critical Switching in Globally Attractive Chimeras

Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems

Dynamic Regulation of Resource Transport Induces Criticality in Interdependent Networks of Excitable Units

Introduction to Focus Issue: When Machine Learning Meets Complex Systems: Networks, Chaos, and Nonlinear Dynamics