What makes you think the network inference is less expensive? Newtonian physics is already extremely well known and pretty computationally efficient to compute.
How would a "function approximation" of Newtonian physics, with billions of parameters, be cheaper to compute?
It seems like this would both be more expensive and less correct than a proper physics simulation.