Incorporating structural information into Neural ODE as a Differential Equation System

Can I know if we can feed the known physics information about a system, as a Differential Equation System into Neural network architecture within NeuralODE in DiffEqFlux.jl?

I have referred documentation examples, but found only those with known prior structural information added as a single equation within Neural Network architecture.

Thanks in advance!