Simulation Toolchain for Neuromorphic Oscillatory Neural Networks Based on Beyond-CMOS Vanadium Dioxide Devices

Stefania Carapezzi; Corentin Delacour; Aida Todri-Sanial

doi:10.1109/FLEPS53764.2022.9781525

Simulation Toolchain for Neuromorphic Oscillatory Neural Networks Based on Beyond-CMOS Vanadium Dioxide Devices

Stefania Carapezzi, Corentin Delacour, Aida Todri-Sanial

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

2 Citaten (Scopus)

Samenvatting

In this work, we illustrate a simulation toolchain using technology computer-aided design (TCAD) software to simulate neuro-mimicking Oscillatory Neural Networks (ONNs) based on Beyond CMOS Vanadium Dioxide (VO2) oscillators. We use a dedicated TCAD approach to simulate thermal-induced resistive switching in VO2. We perform TCAD and TCAD -SPICE mixed-mode simulations to simulate all the key elements of the ONN system: VO2 device, VO2 oscillator and dynamics of coupled VO2 oscillators. This demonstrates that TCAD multi-physics simulations are an essential tool for probing the interplay between VO2 material properties, device geometry and circuit dynamics, while providing insights and guidelines for the development of ONN technology based on Beyond CMOS VO2 oscillators.

Originele taal-2	Engels
Titel	2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	1-4
Aantal pagina's	4
ISBN van elektronische versie	9781665442732
ISBN van geprinte versie	978-1-6654-4274-9
DOI's	https://doi.org/10.1109/FLEPS53764.2022.9781525
Status	Gepubliceerd - 10 jun. 2022
Extern gepubliceerd	Ja
Evenement	2022 IEEE International Conference on Flexible and Printable Sensors and Systems, FLEPS 2022 - Vienna, Oostenrijk Duur: 10 jul. 2022 → 13 jul. 2022

Congres

Congres	2022 IEEE International Conference on Flexible and Printable Sensors and Systems, FLEPS 2022
Verkorte titel	FLEPS 2022
Land/Regio	Oostenrijk
Stad	Vienna
Periode	10/07/22 → 13/07/22

Toegang tot document

10.1109/FLEPS53764.2022.9781525

Andere bestanden en links

Link naar publicatie in Scopus

Citeer dit

Carapezzi, S., Delacour, C., & Todri-Sanial, A. (2022). Simulation Toolchain for Neuromorphic Oscillatory Neural Networks Based on Beyond-CMOS Vanadium Dioxide Devices. In 2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS) (blz. 1-4). Artikel 9781525 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/FLEPS53764.2022.9781525

@inproceedings{296045191628440da3084d8ebfe0e343,

title = "Simulation Toolchain for Neuromorphic Oscillatory Neural Networks Based on Beyond-CMOS Vanadium Dioxide Devices",

abstract = "In this work, we illustrate a simulation toolchain using technology computer-aided design (TCAD) software to simulate neuro-mimicking Oscillatory Neural Networks (ONNs) based on Beyond CMOS Vanadium Dioxide (VO2) oscillators. We use a dedicated TCAD approach to simulate thermal-induced resistive switching in VO2. We perform TCAD and TCAD -SPICE mixed-mode simulations to simulate all the key elements of the ONN system: VO2 device, VO2 oscillator and dynamics of coupled VO2 oscillators. This demonstrates that TCAD multi-physics simulations are an essential tool for probing the interplay between VO2 material properties, device geometry and circuit dynamics, while providing insights and guidelines for the development of ONN technology based on Beyond CMOS VO2 oscillators.",

keywords = "Semiconductor device modeling, Beyond CMOS, Computational modeling, Thermal resistance, Neural networks, Vanadium, Switches, technology computer-aided design (TCAD) simulation, TCAD - SPICE mixed mode, Electrothermal simulation, Oscillatory Neural Network (ONN), self-heating, vanadium dioxide, Insulator-Metal-Transition (IMT)",

author = "Stefania Carapezzi and Corentin Delacour and Aida Todri-Sanial",

year = "2022",

month = jun,

day = "10",

doi = "10.1109/FLEPS53764.2022.9781525",

language = "English",

isbn = "978-1-6654-4274-9",

pages = "1--4",

booktitle = "2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2022 IEEE International Conference on Flexible and Printable Sensors and Systems, FLEPS 2022, FLEPS 2022 ; Conference date: 10-07-2022 Through 13-07-2022",

}

Carapezzi, S, Delacour, C & Todri-Sanial, A 2022, Simulation Toolchain for Neuromorphic Oscillatory Neural Networks Based on Beyond-CMOS Vanadium Dioxide Devices. in 2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)., 9781525, Institute of Electrical and Electronics Engineers, blz. 1-4, 2022 IEEE International Conference on Flexible and Printable Sensors and Systems, FLEPS 2022, Vienna, Oostenrijk, 10/07/22. https://doi.org/10.1109/FLEPS53764.2022.9781525

Simulation Toolchain for Neuromorphic Oscillatory Neural Networks Based on Beyond-CMOS Vanadium Dioxide Devices. / Carapezzi, Stefania; Delacour, Corentin; Todri-Sanial, Aida.
2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS). Institute of Electrical and Electronics Engineers, 2022. blz. 1-4 9781525.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

TY - GEN

T1 - Simulation Toolchain for Neuromorphic Oscillatory Neural Networks Based on Beyond-CMOS Vanadium Dioxide Devices

AU - Carapezzi, Stefania

AU - Delacour, Corentin

AU - Todri-Sanial, Aida

PY - 2022/6/10

Y1 - 2022/6/10

N2 - In this work, we illustrate a simulation toolchain using technology computer-aided design (TCAD) software to simulate neuro-mimicking Oscillatory Neural Networks (ONNs) based on Beyond CMOS Vanadium Dioxide (VO2) oscillators. We use a dedicated TCAD approach to simulate thermal-induced resistive switching in VO2. We perform TCAD and TCAD -SPICE mixed-mode simulations to simulate all the key elements of the ONN system: VO2 device, VO2 oscillator and dynamics of coupled VO2 oscillators. This demonstrates that TCAD multi-physics simulations are an essential tool for probing the interplay between VO2 material properties, device geometry and circuit dynamics, while providing insights and guidelines for the development of ONN technology based on Beyond CMOS VO2 oscillators.

AB - In this work, we illustrate a simulation toolchain using technology computer-aided design (TCAD) software to simulate neuro-mimicking Oscillatory Neural Networks (ONNs) based on Beyond CMOS Vanadium Dioxide (VO2) oscillators. We use a dedicated TCAD approach to simulate thermal-induced resistive switching in VO2. We perform TCAD and TCAD -SPICE mixed-mode simulations to simulate all the key elements of the ONN system: VO2 device, VO2 oscillator and dynamics of coupled VO2 oscillators. This demonstrates that TCAD multi-physics simulations are an essential tool for probing the interplay between VO2 material properties, device geometry and circuit dynamics, while providing insights and guidelines for the development of ONN technology based on Beyond CMOS VO2 oscillators.

KW - Semiconductor device modeling

KW - Beyond CMOS

KW - Computational modeling

KW - Thermal resistance

KW - Neural networks

KW - Vanadium

KW - Switches

KW - technology computer-aided design (TCAD) simulation

KW - TCAD - SPICE mixed mode

KW - Electrothermal simulation

KW - Oscillatory Neural Network (ONN)

KW - self-heating

KW - vanadium dioxide

KW - Insulator-Metal-Transition (IMT)

UR - http://www.scopus.com/inward/record.url?scp=85137176498&partnerID=8YFLogxK

U2 - 10.1109/FLEPS53764.2022.9781525

DO - 10.1109/FLEPS53764.2022.9781525

M3 - Conference contribution

SN - 978-1-6654-4274-9

SP - 1

EP - 4

BT - 2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)

PB - Institute of Electrical and Electronics Engineers

T2 - 2022 IEEE International Conference on Flexible and Printable Sensors and Systems, FLEPS 2022

Y2 - 10 July 2022 through 13 July 2022

ER -

Simulation Toolchain for Neuromorphic Oscillatory Neural Networks Based on Beyond-CMOS Vanadium Dioxide Devices

Samenvatting

Congres

Toegang tot document

Andere bestanden en links

Vingerafdruk

Citeer dit