  An algorithm is developed for structure identification of amorphous
carbonaceous nanomaterials with a joint x-ray and neutron diffraction data
analysis, using the data on the chemical composition of the sample from other
diagnostics. The algorithm is an extension of one formerly developed for the
x-ray diffraction diagnostics of similar nanomaterials ([1] Chem. Phys. Lett.,
506, 265-268 (2011)). The algorithm is tested on the example of processing the
computed data for a sample which models a fragment of hydrocarbon films
analyzed in [1]. The algorithm is of interest for structure diagnostics of
materials with comparable atomic fractions of carbon and hydrogen.
