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Towards Intelligently Designed Evolvable Processors [Software] Open Access

Evolution-in-Materio (EiM) is an emerging computational paradigm in which an algorithm reconfigures a material’s properties to achieve a specific computational function. This paper addresses the question of how optimal EiM processors can be designed through the selection of nanomaterials and an evolutionary algorithm for a target application. A physical model of a nanomaterial network is developed which allows for both randomness, and the possibility of Ohmic and non-Ohmic conduction, that are characteristic of such materials. These differing networks are then exploited by differential evolution, which optimises several configuration parameters (e.g. configuration voltages, weights, etc.), to solve different classification problems. We show that optimal nanomaterial choice depends upon problem complexity, with more complex problems being favoured by complex voltage dependence of conductivity and vice versa. Furthermore, we highlight how intrinsic nanomaterial electrical properties can be exploited by differing configuration parameters, clarifying the role and limitations of these techniques. These findings provide guidance for the rational design of nanomaterials and algorithms for future EiM processors.

Descriptions

Resource type

Software

Contributors

Creator: Jones, Benedict ¹
Contact person: Jones, Benedict ¹
Editor: Groves, Christopher ¹
Editor: Zeze, Dagou ¹

¹ Durham University

Funder

Engineering and Physical Sciences Research Council

Research methods

Other description

This contains a model that integrates NGSpice with python using PySpice. This allows us to simulate a material and run it as an evolution in-materio (EiM) processor.

Keyword

Evolution in-Materio Processors
EiM Material Proxy
Material Model
Alternative Computing

Subject

Evolution in-Materio

Location

Language

English

Cited in

Identifier

ark:/32150/r1hm50tr744

Rights

Creative Commons Attribution 4.0 International (CC BY)

Publisher

Durham University

Date Created

2020-06-22

File Details

Depositor

B. Jones

Date Uploaded

22 June 2020, 17:06:50

Date Modified

28 January 2021, 16:01:30

Audit Status

Audits have not yet been run on this file.

Characterization

File format: vnd.oasis.opendocument.text (OpenDocument Text)

Mime type: application/vnd.oasis.opendocument.text

File size: 129330999

Last modified: 2021:01:06 16:35:16+00:00

Filename: EiM_MaterialProxy.zip

Original checksum: d0602a51de6363b4e160127a3a463744