Grant: Discovery Grants Program - Individual
Carleton University
$56,000.00
Smart Devices Based on Soft Materials
FY 2022-23
Summary
Conventional active electronic devices are based on crystalline semiconducting materials,predominately silicon. Although the dominance of silicon continues with its limits being continuallyexpanded, other technologies on the horizon have significant promise for complementary functionsand applications unsuitable to silicon. Active “soft materials” such as conducting polymers,organic/inorganic composites and biological materials have interesting properties that can be used toprovide unique functionality. These materials can also have the advantage of being compatible withflexible substrates and simple printing techniques for the fabrication of devices. Using a combinationof soft materials, such as a conducting polymer, a gel electrolyte, and a suitable contact material,electronic/ionic/photonic devices can be fabricated. These devices can be made to operate not onlyin response to electrical signals but also using the movement and availability of ions. Being inherentlyelectrochromic, meaning that their state of electronic operation is evident from their colour, allowsoptical interrogation to be used as a readout mechanism. To date we have used electronic/ionic/photonic devices to implement transistors,sigmoid transfer functions, and both short andlong term memory elements as well as investigating several photoactive device technologies for implementing optical control. The proposed program is to further this work to allow combining arrays of these active elements with a compatible parallel input technology, such as printable photoactive arrays, permitting the formation of 2-dimensional and 3-dimensional systems that emulate functionssimilar to those normally accomplished using neurons in biological systems (neuromorphic). In the long term this will make possible the fabrication of complex cellular structures for the implementation of retina-likeimage processing functions. Adding more layers and other functionalities, like optical gating and/ormultiple selective ion transport, will allow for even more complex intelligent processing systems.The implementation of some "intelligent" functions in neuromorphic hardware is an important area of research that has recently become very popular due to the rise of work on memristor-type technologies, which are a part of this effort. This work has and will continue to expand the knowledge in this area and and push toward commercialization of the technologies in Canada adding a complementary effort to software-based AI, in which Canada is already at the forefront.
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2018-06633
Name nom
McGarry, Steven
Department département
Electronics - Electronics
Organization id
23
Institution établissement
Carleton University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2018
Award amount
56000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2500
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Electrical and electronic engineering
Research subject fr
Génie électrique et électronique
Installment
inst:5;6
Partie
2
Nb partie
6
Application title
Smart Devices Based on Soft Materials
Application summary
Conventional active electronic devices are based on crystalline semiconducting materials,predominately silicon. Although the dominance of silicon continues with its limits being continuallyexpanded, other technologies on the horizon have significant promise for complementary functionsand applications unsuitable to silicon. Active “soft materials” such as conducting polymers,organic/inorganic composites and biological materials have interesting properties that can be used toprovide unique functionality. These materials can also have the advantage of being compatible withflexible substrates and simple printing techniques for the fabrication of devices. Using a combinationof soft materials, such as a conducting polymer, a gel electrolyte, and a suitable contact material,electronic/ionic/photonic devices can be fabricated. These devices can be made to operate not onlyin response to electrical signals but also using the movement and availability of ions. Being inherentlyelectrochromic, meaning that their state of electronic operation is evident from their colour, allowsoptical interrogation to be used as a readout mechanism. To date we have used electronic/ionic/photonic devices to implement transistors,sigmoid transfer functions, and both short andlong term memory elements as well as investigating several photoactive device technologies for implementing optical control. The proposed program is to further this work to allow combining arrays of these active elements with a compatible parallel input technology, such as printable photoactive arrays, permitting the formation of 2-dimensional and 3-dimensional systems that emulate functionssimilar to those normally accomplished using neurons in biological systems (neuromorphic). In the long term this will make possible the fabrication of complex cellular structures for the implementation of retina-likeimage processing functions. Adding more layers and other functionalities, like optical gating and/ormultiple selective ion transport, will allow for even more complex intelligent processing systems.The implementation of some "intelligent" functions in neuromorphic hardware is an important area of research that has recently become very popular due to the rise of work on memristor-type technologies, which are a part of this effort. This work has and will continue to expand the knowledge in this area and and push toward commercialization of the technologies in Canada adding a complementary effort to software-based AI, in which Canada is already at the forefront.