  In this paper we present a successful approach for the generation of
partially fluorinated graphene structures. A computationally simple model
optimized on a large DFT dataset quickly and precisely predicts experimentally
observed structures. From the analysis of the structural diversity of
fluorinated graphene in a wide range of synthesis temperatures, the general
structural patterns are identified and the conditions for their achievement are
determined. In addition, to facilitate further studies of fluorinated graphene,
we present a ready-to-use GenCF code that implements the described structure
generator.
