Evolution-in-materio: solving function optimization problems using materials (2014)
Conference Proceeding
Mohid, M., Miller, J., Harding, S., Tufte, G., Lykkebo, O., Massey, M., & Petty, M. (2014). Evolution-in-materio: solving function optimization problems using materials. In Computational Intelligence (UKCI) : 2014 14th UK Workshop on, 8-10 September 2014, Bradford, UK ; proceedings (1-8). https://doi.org/10.1109/ukci.2014.6930152

Evolution-in-materio (EIM) is a method that uses artificial evolution to exploit properties of materials to solve computational problems without requiring a detailed understanding of such properties. In this paper, we show that using a purpose-built... Read More about Evolution-in-materio: solving function optimization problems using materials.

Logic gate and circuit training on randomly dispersed carbon nanotubes (2014)
Journal Article
Kotsialos, A., Massey, M., Qaiser, F., Zeze, D., Pearson, C., & Petty, M. (2014). Logic gate and circuit training on randomly dispersed carbon nanotubes. International Journal of Unconventional Computing, 10(5-6), 473-497

This paper presents results of computations based on threshold logic performed by a thin solid film, following the general principle of evolution in materio. The electrical conductivity is used as the physical property manipulated for evolving Boolea... Read More about Logic gate and circuit training on randomly dispersed carbon nanotubes.