  As a class of emerging post-CMOS technologies, Field-coupled Nanocomputing
(FCN) devices promise computation with tremendously low energy dissipation.
Even though ground breaking advances in several physical implementations like
Quantum-dot Cellular Automata (QCA) or Nanomagnet Logic (NML) have been made in
the last couple of years, design automation for FCN is still in its infancy and
often still relies on manual labor. In this paper, we present an open source
framework called fiction for physical design and technology mapping of FCN
circuits. Its efficient data structures, state-of-the-art algorithms, and
extensibility provide a basis for future research in the community.
