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Application of 1D CNN to interpolate between different input labels

I am trying to apply 1d-cnn to predict the output neutron flux passing through different shielding thicknesses. I have bunch of input spectra (1d vector of normalized weights at different energies) passing through a shielding and create a flux (also a 1d vector of energy (numerical values at different energies)). My 1d-cnn was able to train with different input weights at different energies and their corresponding output weights (fluxes at different energies). Now, I have data for the input and output weights (fluxes) at different thicknesses and want to predict if I pass a set of weights at a given thickness (which is not one of the trained thicknesses) to predict the output flux. Basically an interpolation with 1d-cnn that can understand the relationship between the attenuation capabilities of different thicknesses of shielding and predict the output at any arbitrary thickness.