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20222025
most citedCharacterization and Optimization of Integrated Silicon-Photonic Neural Networks under Fabrication-Process Variations

32 citations · 41 across the 10 of their papers we have counts for

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Showing cs.ETShow all

5 papers · 1 filter

cs.ET2023★ 2 cited

Compact and Low-Loss PCM-based Silicon Photonic MZIs for Photonic Neural Networks

Amin Shafiee, Sanmitra Banerjee, Benoit Charbonnier +2

We present an optimized Mach-Zehnder Interferometer (MZI) with phase change materials for photonic neural networks (PNNs). With 0.2 dB loss, -38 dB crosstalk, and length of 52 micr…

cs.ET2023★ 1 cited

Analysis of Optical Loss and Crosstalk Noise in MZI-based Coherent Photonic Neural Networks

Amin Shafiee, Sanmitra Banerjee, Krishnendu Chakrabarty +2

With the continuous increase in the size and complexity of machine learning models, the need for specialized hardware to efficiently run such models is rapidly growing. To address…

cs.ET2023★ 1 cited

Design Space Exploration for PCM-based Photonic Memory

Amin Shafiee, Benoit Charbonnier, Sudeep Pasricha +1

The integration of silicon photonics (SiPh) and phase change materials (PCMs) has created a unique opportunity to realize adaptable and reconfigurable photonic systems. In particul…

cs.ET2022★ 32 cited

Characterization and Optimization of Integrated Silicon-Photonic Neural Networks under Fabrication-Process Variations

Asif Mirza, Amin Shafiee, Sanmitra Banerjee +3

Silicon-photonic neural networks (SPNNs) have emerged as promising successors to electronic artificial intelligence (AI) accelerators by offering orders of magnitude lower latency…

cs.ET2022★ 3 cited

LoCI: An Analysis of the Impact of Optical Loss and Crosstalk Noise in Integrated Silicon-Photonic Neural Networks

Amin Shafiee, Sanmitra Banerjee, Krishnendu Chakrabarty +2

Compared to electronic accelerators, integrated silicon-photonic neural networks (SP-NNs) promise higher speed and energy efficiency for emerging artificial-intelligence applicatio…