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Integrating molecular photoswitch memory with nanoscale optoelectronics for neuromorphic computing

Alcer, David LU orcid ; Zaiats, Nelia LU orcid ; Jensen, Thomas K. LU orcid ; Philip, Abbey M. ; Gkanias, Evripidis LU orcid ; Ceberg, Nils LU ; Das, Abhijit LU orcid ; Flodgren, Vidar LU ; Heinze, Stanley LU orcid and Borgström, Magnus T. LU orcid , et al. (2025) In Communications Materials 6(1).
Abstract
Photonic solutions are potentially highly competitive for energy-efficient neuromorphic computing. However, a combination of specialized nanostructures is needed to implement all neuro-biological functionality. Here, we show that donor-acceptor Stenhouse adduct dyes integrated with III-V semiconductor nano-optoelectronics have combined excellent functionality for bio-inspired neural networks. The dye acts as synaptic weights in the optical interconnects, while the nano-optoelectronics provide neuron reception, interpretation and emission of light signals. These dyes can reversibly switch from absorbing to non-absorbing states, using specific wavelength ranges. Together, they show robust and predictable switching, low energy thermal reset... (More)
Photonic solutions are potentially highly competitive for energy-efficient neuromorphic computing. However, a combination of specialized nanostructures is needed to implement all neuro-biological functionality. Here, we show that donor-acceptor Stenhouse adduct dyes integrated with III-V semiconductor nano-optoelectronics have combined excellent functionality for bio-inspired neural networks. The dye acts as synaptic weights in the optical interconnects, while the nano-optoelectronics provide neuron reception, interpretation and emission of light signals. These dyes can reversibly switch from absorbing to non-absorbing states, using specific wavelength ranges. Together, they show robust and predictable switching, low energy thermal reset and a memory dynamic range from days to sub-seconds that allows both short- and long-term memory operation at natural timescales. Furthermore, as the dyes do not need electrical connections, on-chip integration is simple. We illustrate the functionality using individual nanowire photodiodes as well as arrays. Based on the experimental performance metrics, our on-chip solution is capable of operating an anatomically validated model of the insect brain navigation complex.
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Communications Materials
volume
6
issue
1
article number
11
publisher
Springer Nature
external identifiers
  • scopus:85218424743
DOI
10.1038/s43246-024-00707-w
project
Development of Optically Communicating Nanowire-based III-V Devices: Optical broadcasting for artificial neural networks
language
English
LU publication?
yes
id
c338fc3b-f98b-439b-9bc0-2b47be216852
date added to LUP
2025-01-29 12:47:05
date last changed
2025-05-07 08:12:31
@article{c338fc3b-f98b-439b-9bc0-2b47be216852,
  abstract     = {{Photonic solutions are potentially highly competitive for energy-efficient neuromorphic computing. However, a combination of specialized nanostructures is needed to implement all neuro-biological functionality. Here, we show that donor-acceptor Stenhouse adduct dyes integrated with III-V semiconductor nano-optoelectronics have combined excellent functionality for bio-inspired neural networks. The dye acts as synaptic weights in the optical interconnects, while the nano-optoelectronics provide neuron reception, interpretation and emission of light signals. These dyes can reversibly switch from absorbing to non-absorbing states, using specific wavelength ranges. Together, they show robust and predictable switching, low energy thermal reset and a memory dynamic range from days to sub-seconds that allows both short- and long-term memory operation at natural timescales. Furthermore, as the dyes do not need electrical connections, on-chip integration is simple. We illustrate the functionality using individual nanowire photodiodes as well as arrays. Based on the experimental performance metrics, our on-chip solution is capable of operating an anatomically validated model of the insect brain navigation complex.<br/>}},
  author       = {{Alcer, David and Zaiats, Nelia and Jensen, Thomas K. and Philip, Abbey M. and Gkanias, Evripidis and Ceberg, Nils and Das, Abhijit and Flodgren, Vidar and Heinze, Stanley and Borgström, Magnus T. and Webb, Barbara and Laursen, Bo W. and Mikkelsen, Anders}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{Springer Nature}},
  series       = {{Communications Materials}},
  title        = {{Integrating molecular photoswitch memory with nanoscale optoelectronics for neuromorphic computing}},
  url          = {{http://dx.doi.org/10.1038/s43246-024-00707-w}},
  doi          = {{10.1038/s43246-024-00707-w}},
  volume       = {{6}},
  year         = {{2025}},
}