Networked dynamical systems are common throughout science in engineering; eg,
biological networks, reaction networks, power systems, and the like. For many such systems,
nonlinearity drives populations of identical (or near-identical) units to exhibit a wide range of
nontrivial behaviors, such as the emergence of coherent structures (eg, waves and patterns)
or otherwise notable dynamics (eg, synchrony and chaos). In this work, we seek to infer (i)
the intrinsic physics of a base unit of a population,(ii) the underlying graphical structure …