An Explanation of Computation - Collective Electrodynamics in Blobs of Carbon Nanotubes

Laketic, Dragana; Tufte, Gunnar; Lykkebø, Odd Rune; Nichele, Stefano

doi:10.4108/eai.3-12-2015.2262510

Cited by 4 publications

(5 citation statements)

References 21 publications

(21 reference statements)

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“…Information processing performed by the CNT material is described in [29] within the framework of Ashby's systems theory [1], as introduced in classical cybernetics. Electrical properties exploited for computation arise as an emergent property of the stimulated material.…”

Section: Model Of Computation Based On Collective Electrodynamics In ...mentioning

confidence: 99%

Computational Matter: Evolving Computational Functions in Nanoscale Materials

Broersma

Miller

Nichele

2016

Emergence, Complexity and Computation

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Natural evolution has been manipulating the properties of proteins for billions of years. This 'design process' is completely different to conventional human design which assembles well-understood smaller parts in a highly principled way. In evolution-in-materio (EIM), researchers use evolutionary algorithms to define configurations and magnitudes of physical variables (e.g. voltages) which are applied to material systems so that they carry out useful computation. One of the advantages of this is that artificial evolution can exploit physical effects that are either too complex to understand or hitherto unknown. An EU funded project in Unconventional Computation called NASCENCE: Nanoscale Engineering of Novel Computation using Evolution, has the aim to model, understand and exploit the behaviour of evolved configurations of nanosystems (e.g. networks of nanoparticles, carbon nanotubes, liquid crystals) to solve computational problems. The project showed that it is possible to use materials to help find solutions to a number of well-known computational problems (e.g. TSP, Bin-packing, Logic gates, etc.).

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Section: Model Of Computation Based On Collective Electrodynamics In ...mentioning

confidence: 99%

Computational Matter: Evolving Computational Functions in Nanoscale Materials

Broersma

Miller

Nichele

2016

Emergence, Complexity and Computation

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“…From what has been said so far, the description at the level of physics, S 1 can be given by the state s 1 (t) defined by the propagation vectors of all the electrons which are moving along CNTs in the system and the transfer function tf 1 by the four-potential A since the changes of the electron propagation vector happen due to the changes of the electromagnetic field: (13) where N e is the total number of electrons in the system. The transfer function defined by the four-potential:…”

Section: State Space Description For the Domain Of Materials Physicsmentioning

confidence: 99%

“…In [13] we have recognised different conceptual domains within which EIM computations can be described. Figure 2 shows these domains alongside a schematic view of the EIM scenario.…”

Section: Evolution-in-materiomentioning

confidence: 99%

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A hierarchical view on Evolution-In-Materio computations

Laketic

Tufte

2016

2016 IEEE Symposium Series on Computational Intelligence (SSCI)

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Abstract-Evolution-In-Materio, an unconventional computing paradigm exploiting physical properties of materials for achieving computations, is addressed here as a system which exhibits dynamical hierarchies. A description of computations is provided to show that computations within Evolution-In-Materio systems arise from the dynamics at different hierarchical levels. An information theoretic approach to formalising the notion of dynamical hierarchies is used. The approach is based on the descriptions of the system at different hierarchical levels. The concrete material addressed in this paper is a carbon nanotube / polymer nanocomposite. The choice of material is based on previous work motivated by a number of experiments conducted on such material samples. Presented findings are valuable for several reasons: better understanding of computations within Evolution-In-Materio systems, useful hints to modelling this kind of unconventional computations, useful ideas for further development of similar unconventional computing systems such as using quantum properties of charge carriers within the material and the magnetic field for guiding the search for the solution of the computational problem at hand.

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“…Such models are described in more detail in [26], and are based on Ashby's systems theory [1], as introduced in classical cybernetics. Electrical properties exploited for computation arise as an emergent property of the stimulated material.…”

Section: Models Of Swcnt-compositesmentioning

confidence: 99%

Evolution in Nanomaterio: The NASCENCE Project

Broersma

2017

Inspired by Nature

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This chapter describes some of the work that was carried out by members of the NASCENCE project, an FP7 project sponsored by the European Community. Apart from 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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An Explanation of Computation - Collective Electrodynamics in Blobs of Carbon Nanotubes

Cited by 4 publications

References 21 publications

Computational Matter: Evolving Computational Functions in Nanoscale Materials

Computational Matter: Evolving Computational Functions in Nanoscale Materials

A hierarchical view on Evolution-In-Materio computations

Evolution in Nanomaterio: The NASCENCE Project

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