| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Hurtado, Antonio
University of Strathclyde
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (11/11 displayed)
- 2024Optimizing Interfaces in Laser-Brazed Ceramic-Stainless Steel Joints for Hydrothermal Sensors through Finite-Element Modelingcitations
- 2024Multi-scale systematization of damage and failure modes of composite cryogenic hydrogen vessels according to the Fault Tree method
- 2021Comprehensive performance analysis of a VCSEL-based photonic reservoir computercitations
- 2020High-Throughput Electrical Characterization of Nanomaterials from Room to Cryogenic Temperatures.
- 2020High-Throughput Electrical Characterization of Nanomaterials from Room to Cryogenic Temperatures.
- 2020High-throughput electrical characterization of nanomaterials from room to cryogenic temperaturescitations
- 2020Investigation on the Corrosion Behavior of Nickel‐Base Alloys in Molten Chlorides for Sensible Heat Energy Applicationscitations
- 2020Automated nanoscale absolute accuracy alignment system for transfer printingcitations
- 2017Controlled inhibition of spiking dynamics in VCSELs for neuromorphic photonicscitations
- 2014Biotechnological hydrogen production by photosynthesiscitations
- 2014Laser-supported joining of SiC-fiber/SiCN ceramic matrix composites fabricated by precursor infiltrationcitations
Places of action
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article
Comprehensive performance analysis of a VCSEL-based photonic reservoir computer
Abstract
Optical neural networks offer radically new avenues for ultrafast, energy-efficient hardware for machine learning and artificial intelligence. Reservoir Computing (RC), given its high performance and cheap training has attracted considerable attention for photonic neural network implementations, principally based on semiconductor lasers (SLs). Among SLs, Vertical Cavity Surface Emitting Lasers (VCSELs) possess unique attributes, e.g. high speed, low power, rich dynamics, reduced cost, ease to integrate in array architectures, making them valuable candidates for future photonic neural networks. This work provides a comprehensive analysis of a telecom-wavelength GHz-rate VCSEL RC system, revealing the impact of key system parameters on its performance across different processing tasks.