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Evolution in Nanomaterio: The NASCENCE Project

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Inspired by Nature

Part of the book series: Emergence, Complexity and Computation ((ECC,volume 28))

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Abstract

This chapter describes some of the work carried out by members of the NASCENCE project, an FP7 project sponsored by the European Community. After some historical notes and background material, the chapter explains how nanoscale material systems have been configured to perform computational tasks by finding appropriate configuration signals using artificial evolution. Most of this exposition is centred around the work that has been carried out at the MESA+ Institute for Nanotechnology at the University of Twente using disordered networks of nanoparticles. The interested reader will also find many pointers to references that contain more details on work that has been carried out by other members of the NASCENCE consortium on composite materials based on single-walled carbon nanotubes.

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Acknowledgements

The research leading to these results has received funding from the European Community’s Seventh Framework Programme (FP7/2007–2013) under grant agreement number 317662. It is with great pleasure that the author of this chapter thanks all the members of the NASCENCE project for the wonderful collaboration in this adventurous endeavour, and in particular Julian F. Miller for his inspiration and positive attitude. Happy birthday, Julian!

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Authors and Affiliations

  1. Faculty of Electrical Engineering, Mathematics and Computer Science, CTIT Institute for ICT Research, MESA+ Institute for Nanotechnology, University of Twente, Enschede, The Netherlands

    Hajo Broersma

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  1. Hajo Broersma
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Correspondence to Hajo Broersma .

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Editors and Affiliations

  1. Department of Computer Science, University of York, York, United Kingdom

    Susan Stepney

  2. Unconventional Computing Centre, University of the West of England, Bristol, United Kingdom

    Andrew Adamatzky

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Broersma, H. (2018). Evolution in Nanomaterio: The NASCENCE Project. In: Stepney, S., Adamatzky, A. (eds) Inspired by Nature. Emergence, Complexity and Computation, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-319-67997-6_4

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  • DOI: https://doi.org/10.1007/978-3-319-67997-6_4

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