Low-temperature emergent neuromorphic networks with correlated oxide devices

Goteti, Uday S.; Zaluzhnyy, Ivan A.; Ramanathan, Shriram; Dynes, Robert C.; Frano, Alex

doi:10.1073/pnas.2103934118

Title: Low-temperature emergent neuromorphic networks with correlated oxide devices

Abstract

Neuromorphic computing—which aims to mimic the collective and emergent behavior of the brain’s neurons, synapses, axons, and dendrites—offers an intriguing, potentially disruptive solution to society’s ever-growing computational needs. Although much progress has been made in designing circuit elements that mimic the behavior of neurons and synapses, challenges remain in designing networks of elements that feature a collective response behavior. We present simulations of networks of circuits and devices based on superconducting and Mott-insulating oxides that display a multiplicity of emergent states that depend on the spatial configuration of the network. Our proposed network designs are based on experimentally known ways of tuning the properties of these oxides using light ions. We show how neuronal and synaptic behavior can be achieved with arrays of superconducting Josephson junction loops, all within the same device. We also show how a multiplicity of synaptic states could be achieved by designing arrays of devices based on hydrogenated rare earth nickelates. Together, our results demonstrate a research platform that utilizes the collective macroscopic properties of quantum materials to mimic the emergent behavior found in biological systems.

Authors:

^[1]; Zaluzhnyy, Ivan A. ^[1]; Ramanathan, Shriram ^[2];

^[1];

^[1]

Department of Physics, University of California San Diego, La Jolla, CA 92093,
School of Materials Engineering, Purdue University, West Lafayette, IN 47907

Publication Date:: Wed Aug 25 00:00:00 EDT 2021

Research Org.:: Univ. of California, San Diego, CA (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Basic Energy Sciences (BES)

OSTI Identifier:: 1814870

Alternate Identifier(s):: OSTI ID: 1852983

Grant/Contract Number:: SC0019273

Resource Type:: Published Article

Journal Name:: Proceedings of the National Academy of Sciences of the United States of America

Additional Journal Information:: Journal Name: Proceedings of the National Academy of Sciences of the United States of America Journal Volume: 118 Journal Issue: 35; Journal ID: ISSN 0027-8424

Publisher:: Proceedings of the National Academy of Sciences

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING; neuromorphic computing; strongly correlated systems; hardware neural networks; emergent phenomena

Citation Formats


                    Goteti, Uday S., Zaluzhnyy, Ivan A., Ramanathan, Shriram, Dynes, Robert C., and Frano, Alex. Low-temperature emergent neuromorphic networks with correlated oxide devices.  United States: N. p., 2021. 
Web.  doi:10.1073/pnas.2103934118.

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                    Goteti, Uday S., Zaluzhnyy, Ivan A., Ramanathan, Shriram, Dynes, Robert C., & Frano, Alex. Low-temperature emergent neuromorphic networks with correlated oxide devices.  United States.  https://doi.org/10.1073/pnas.2103934118

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                    Goteti, Uday S., Zaluzhnyy, Ivan A., Ramanathan, Shriram, Dynes, Robert C., and Frano, Alex. Wed .  
"Low-temperature emergent neuromorphic networks with correlated oxide devices".  United States.  https://doi.org/10.1073/pnas.2103934118.

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@article{osti_1814870,

  title        = {Low-temperature emergent neuromorphic networks with correlated oxide devices},

  author       = {Goteti, Uday S. and Zaluzhnyy, Ivan A. and Ramanathan, Shriram and Dynes, Robert C. and Frano, Alex},

  abstractNote = {Neuromorphic computing—which aims to mimic the collective and emergent behavior of the brain’s neurons, synapses, axons, and dendrites—offers an intriguing, potentially disruptive solution to society’s ever-growing computational needs. Although much progress has been made in designing circuit elements that mimic the behavior of neurons and synapses, challenges remain in designing networks of elements that feature a collective response behavior. We present simulations of networks of circuits and devices based on superconducting and Mott-insulating oxides that display a multiplicity of emergent states that depend on the spatial configuration of the network. Our proposed network designs are based on experimentally known ways of tuning the properties of these oxides using light ions. We show how neuronal and synaptic behavior can be achieved with arrays of superconducting Josephson junction loops, all within the same device. We also show how a multiplicity of synaptic states could be achieved by designing arrays of devices based on hydrogenated rare earth nickelates. Together, our results demonstrate a research platform that utilizes the collective macroscopic properties of quantum materials to mimic the emergent behavior found in biological systems.},

  doi          = {10.1073/pnas.2103934118},

  journal      = {Proceedings of the National Academy of Sciences of the United States of America},

  number       = 35,

  volume       = 118,

  place        = {United States},

  year         = {Wed Aug 25 00:00:00 EDT 2021},

  month        = {Wed Aug 25 00:00:00 EDT 2021}

}

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Title: Low-temperature emergent neuromorphic networks with correlated oxide devices

Abstract

Citation Formats

Superconducting Optoelectronic Circuits for Neuromorphic Computing journal, March 2017

Superconducting neural networks with disordered Josephson junction array synaptic networks and leaky integrate-and-fire loop neurons journal, February 2021

Ion-beam-induced metal-insulator transition in Y Ba 2 Cu 3 O 7 − δ : A mobility edge journal, June 1989

Strongly correlated perovskite fuel cells journal, May 2016

Low-temperature electronics journal, March 1990

Collective dynamics of ‘small-world’ networks journal, June 1998

A correlated nickelate synaptic transistor journal, October 2013

Fan-out and fan-in properties of superconducting neuromorphic circuits journal, December 2020

Understanding the metal-to-insulator transition in La1−xSrxCoO3−δ and its applications for neuromorphic computing journal, November 2020

Resistive Switching in Semimetallic SrIrO 3 Thin Films journal, August 2019

Design of a Power Efficient Artificial Neuron Using Superconducting Nanowires journal, September 2019

Disorder and superconducting-state conductivity of single crystals of YBa 2 Cu 3 O 6.95 journal, May 1994

Organismic materials for beyond von Neumann machines journal, March 2020

Subthreshold firing in Mott nanodevices journal, May 2019

Nanoscale Correlations between Metal–Insulator Transition and Resistive Switching Effect in Metallic Perovskite Oxides journal, May 2020

Neuromorphic electronic systems journal, January 1990

Synaptic weighting in single flux quantum neuromorphic computing journal, January 2020

Josephson junction simulation of neurons journal, July 2010

Physical electro-thermal model of resistive switching in bi-layered resistance-change memory journal, April 2013

Artificial neural network circuits with Josephson devices journal, March 1991

Effects of radiation damage in ion‐implanted thin films of metal‐oxide superconductors journal, July 1987

Strongly correlated perovskite lithium ion shuttles journal, August 2018

Beyond electrostatic modification: design and discovery of functional oxide phases via ionic-electronic doping journal, October 2018

Simulating the electric activity of FitzHugh–Nagumo neuron by using Josephson junction model journal, April 2012

Spiking neuron circuits using superconducting quantum phase-slip junctions journal, October 2018

Redundancy in synaptic connections enables neurons to learn optimally journal, July 2018

From quantum matter to high-temperature superconductivity in copper oxides journal, February 2015

Metal-insulator transitions journal, October 1998

Quantum materials for brain sciences and artificial intelligence journal, July 2018

Habituation based synaptic plasticity and organismic learning in a quantum perovskite journal, August 2017

The physics of quantum materials journal, October 2017

Neuromorphic spintronics journal, March 2020

Tutorial: High-speed low-power neuromorphic systems based on magnetic Josephson junctions journal, October 2018

Perovskite nickelates as electric-field sensors in salt water journal, December 2017

Synchronization dynamics on the picosecond time scale in coupled Josephson junction neurons journal, March 2017

Nano Josephson superconducting tunnel junctions in YBa2Cu3O7–δ directly patterned with a focused helium ion beam journal, April 2015

Comparison of Y–Ba–Cu–O Films Irradiated With Helium and Neon Ions for the Fabricationof Josephson Devices journal, August 2014

The flux shuttle—A Josephson junction shift register employing single flux quanta journal, January 1973

Superconducting optoelectronic loop neurons journal, July 2019

Challenges in materials and devices for resistive-switching-based neuromorphic computing journal, December 2018

Cryo-CMOS for Analog/Mixed-Signal Circuits and Systems conference, March 2020

Ultralow power artificial synapses using nanotextured magnetic Josephson junctions journal, January 2018

Phase coupling synchronization of FHN neurons connected by a Josephson junction journal, April 2020

Mixed-valence manganites journal, March 1999

Correlation between Ni Valence and Resistance Modulation on a SmNiO 3 Chemical Transistor journal, December 2018

Review of memristor devices in neuromorphic computing: materials sciences and device challenges journal, September 2018

Ion-beam induced metal insulator transition in YBCO films journal, May 1993

RSFQ logic/memory family: a new Josephson-junction technology for sub-terahertz-clock-frequency digital systems journal, March 1991

Principles of Neural Science . Fifth Edition. Edited by Eric R. Kandel, James H. Schwartz, Thomas M. Jessell, Steven A. Siegelbaum, and A. J. Hudspeth; Art Editor:, Sarah Mack. New York: McGraw-Hill. $135.00. l + 1709 p.; ill.; index. ISBN: 978-0-07-139011-8. 2013. journal, June 2013

Colossal resistance switching and band gap modulation in a perovskite nickelate by electron doping journal, September 2014

Perovskite neural trees journal, May 2020

Metal-to-insulator transition in SmNiO 3 induced by chemical doping: a first principles study journal, January 2018

Superconducting Optoelectronic Circuits for Neuromorphic Computing
journal, March 2017

Superconducting neural networks with disordered Josephson junction array synaptic networks and leaky integrate-and-fire loop neurons
journal, February 2021

Ion-beam-induced metal-insulator transition in $Y {Ba}_{2} {Cu}_{3} O_{7 - δ}$ : A mobility edge
journal, June 1989

Strongly correlated perovskite fuel cells
journal, May 2016

Low-temperature electronics
journal, March 1990

Collective dynamics of ‘small-world’ networks
journal, June 1998

A correlated nickelate synaptic transistor
journal, October 2013

Fan-out and fan-in properties of superconducting neuromorphic circuits
journal, December 2020

Understanding the metal-to-insulator transition in La1−xSrxCoO3−δ and its applications for neuromorphic computing
journal, November 2020

Resistive Switching in Semimetallic SrIrO ₃ Thin Films
journal, August 2019

Design of a Power Efficient Artificial Neuron Using Superconducting Nanowires
journal, September 2019

Disorder and superconducting-state conductivity of single crystals of ${YBa}_{2}$ ${Cu}_{3}$ $O_{6.95}$
journal, May 1994

Organismic materials for beyond von Neumann machines
journal, March 2020

Subthreshold firing in Mott nanodevices
journal, May 2019

Nanoscale Correlations between Metal–Insulator Transition and Resistive Switching Effect in Metallic Perovskite Oxides
journal, May 2020

Neuromorphic electronic systems
journal, January 1990

Synaptic weighting in single flux quantum neuromorphic computing
journal, January 2020

Josephson junction simulation of neurons
journal, July 2010

Physical electro-thermal model of resistive switching in bi-layered resistance-change memory
journal, April 2013

Artificial neural network circuits with Josephson devices
journal, March 1991

Effects of radiation damage in ion‐implanted thin films of metal‐oxide superconductors
journal, July 1987

Strongly correlated perovskite lithium ion shuttles
journal, August 2018

Beyond electrostatic modification: design and discovery of functional oxide phases via ionic-electronic doping
journal, October 2018

Simulating the electric activity of FitzHugh–Nagumo neuron by using Josephson junction model
journal, April 2012

Spiking neuron circuits using superconducting quantum phase-slip junctions
journal, October 2018

Redundancy in synaptic connections enables neurons to learn optimally
journal, July 2018

From quantum matter to high-temperature superconductivity in copper oxides
journal, February 2015

Metal-insulator transitions
journal, October 1998

Quantum materials for brain sciences and artificial intelligence
journal, July 2018

Habituation based synaptic plasticity and organismic learning in a quantum perovskite
journal, August 2017

The physics of quantum materials
journal, October 2017

Neuromorphic spintronics
journal, March 2020

Tutorial: High-speed low-power neuromorphic systems based on magnetic Josephson junctions
journal, October 2018

Perovskite nickelates as electric-field sensors in salt water
journal, December 2017

Synchronization dynamics on the picosecond time scale in coupled Josephson junction neurons
journal, March 2017

Nano Josephson superconducting tunnel junctions in YBa2Cu3O7–δ directly patterned with a focused helium ion beam
journal, April 2015

Comparison of Y–Ba–Cu–O Films Irradiated With Helium and Neon Ions for the Fabricationof Josephson Devices
journal, August 2014

The flux shuttle—A Josephson junction shift register employing single flux quanta
journal, January 1973

Superconducting optoelectronic loop neurons
journal, July 2019

Challenges in materials and devices for resistive-switching-based neuromorphic computing
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Cryo-CMOS for Analog/Mixed-Signal Circuits and Systems
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Ultralow power artificial synapses using nanotextured magnetic Josephson junctions
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Phase coupling synchronization of FHN neurons connected by a Josephson junction
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Mixed-valence manganites
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Correlation between Ni Valence and Resistance Modulation on a SmNiO ₃ Chemical Transistor
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Review of memristor devices in neuromorphic computing: materials sciences and device challenges
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Ion-beam induced metal insulator transition in YBCO films
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RSFQ logic/memory family: a new Josephson-junction technology for sub-terahertz-clock-frequency digital systems
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journal, June 2013

Colossal resistance switching and band gap modulation in a perovskite nickelate by electron doping
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Perovskite neural trees
journal, May 2020

Metal-to-insulator transition in SmNiO ₃ induced by chemical doping: a first principles study
journal, January 2018