indicating that at t = 0, no tracer is present in the pipe. At t > 0, a tracer is continuously injected at the pipe entrance (ẑ = 0). We enforce boundary conditions that ensure no tracer exists near the pipe before the step change ( Ĉ = 0 at ẑ-t √ 4D t = ∞) and there is maximum tracer concentration, Ĉ = 1, uniformly along the pipe at arbitrarily long times after the injection ( ẑ-t . See Data Generation in Appendix C.1 for more detail on boundary conditions and parameter values used. We generate a dataset comprising 64 different concentration fields along the ẑ -t grid where ẑ ∈ [0, 1] and t ∈ [0, 1] by sampling the parameter space for D ∈ [0.1, 0.005] and v ∈ . Although we sample a family of two parameters, the concentration field depends only on their ratio, known as the Péclet number ( vL D ). Our final dataset is a 3D tensor consisting of experiments (N ex ), spatial positions (N ẑ ), and time axes (N t) with dimensions N ex × N ẑ × N t = 64 × 80 × 100.