In this paper, we present an extension to the existing PODEM algorithm to include the ability to generate test patterns for majority and minority networks, specifically targeting quantum-dot cellular automata (QCA), but that is directly applicable to other emergent nanotechnologies such as single electron tunneling (SET) and tunneling phase logic (TPL). A dynamic probability-based controllability technique was developed and used as a guide to make more intelligent decisions on which lines to justify during the automatic test pattern generation (ATPG) process. Lastly, a genetic algorithm was used to fill-in the unspecified values in the test patterns produced by the ATPG in order to achieve compaction on the final test set size. The modified PODEM algorithm was tested on a set of MCNC benchmark circuits when using both fixed polarized cells and external inputs to implement the AND and OR gates. Test set sizes were much smaller when implementing the AND/OR gates using fixed polarized cells, however, the computational times for the latter method were generally shorter.
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