Chemical reaction networks stop refitting per dataset: one training run, then model choice and rate constants in seconds
A single amortized neural architecture now handles reaction-pathway discrimination and rate-constant estimation together, so new experimental data needs only a forward pass to yield posterior model probabilities and parameter posteriors.