On-Chip Optical Communication to Small Footprint Nanowire Neurons

Photonics-based approaches to neuromorphic hardware offer advantages in speed and connectivity but often suffer from large device footprints.[1] Here, we present an ultra-compact artificial neuron built from semiconductor nanowires. A scanning electron micrograph of the nanowire device is presented in Figure 1a, Inside the dashed box, we show the neuron built from three III-V nanowires - two InP pin-doped photodiodes and one InAs-based wire in field-effect transistor (FET) geometry. The two top InP nanowires outside the box are also pin-doped and operated as light emitting diodes (LEDs) to generate on-chip light broadcasting (Figure 1b).

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Published
2025-06-23
DOI
https://doi.org/10.1109/cleo/europe-eqec65582.2025.11110137
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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On-Chip Optical Communication to Small Footprint Nanowire Neurons

Abhijit Das, Tine Lynfort Jensen, Joachim E. Sestoft, Jesper Nygård et al.
Advanced Memory and Neural Computing
article

On-Chip Optical Communication to Small Footprint Nanowire Neurons

Abhijit Das, Tine Lynfort Jensen, Joachim E. Sestoft, Jesper Nygård, Anders Mikkelsen, Vidar Flodgren, Rasmus D. Schlosser, Thomas Kanne, David Alcer, Magnus T. Borgström
article en

Abstract

Photonics-based approaches to neuromorphic hardware offer advantages in speed and connectivity but often suffer from large device footprints.[1] Here, we present an ultra-compact artificial neuron built from semiconductor nanowires. A scanning electron micrograph of the nanowire device is presented in Figure 1a, Inside the dashed box, we show the neuron built from three III-V nanowires - two InP pin-doped photodiodes and one InAs-based wire in field-effect transistor (FET) geometry. The two top InP nanowires outside the box are also pin-doped and operated as light emitting diodes (LEDs) to generate on-chip light broadcasting (Figure 1b).

Laboratoire de physique des Solides (FR), Quantum Devices (United States) (US), Stanford Synchrotron Radiation Lightsource (US)
Affordable and clean energy
Openalex Percentile: Top 79%
Advanced Memory and Neural Computing
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On-Chip Optical Communication to Small Footprint Nanowire Neurons — Abhijit Das, Tine Lynfort Jensen, et al. · (2025) | TGRS Research Map | TGRS