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Nonvolatile Electrically Reconfigurable Integrated Photonic Switch Enabled by a Silicon PIN Diode Heater

Advanced materials (Weinheim), 2020-08, Vol.32 (31), p.e2001218-n/a

2020

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Ultra-low-energy programmable non-volatile silicon photonics based on phase-change materials with graphene heaters

Nature nanotechnology, 2022-08, Vol.17 (8), p.842-848

2022

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Recent Progress in Silicon‐Based Photonic Integrated Circuits and Emerging Applications

Advanced optical materials, 2023-10, Vol.11 (20)

2023

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Scalable and compact photonic neural chip with low learning-capability-loss

Nanophotonics (Berlin, Germany), 2022-01, Vol.11 (2), p.329-344

2022

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Characterization and Optimization of Coherent MZI-Based Nanophotonic Neural Networks Under Fabrication Non-Uniformity

IEEE transactions on nanotechnology, 2022, Vol.21, p.763-771

2022

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MXene‐Nanoflakes‐Enabled All‐Optical Nonlinear Activation Function for On‐Chip Photonic Deep Neural Networks

Advanced materials (Weinheim), 2023-03, Vol.35 (11), p.e2210216-n/a

2023

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Nonvolatile Multilevel Switching of Silicon Photonic Devices with In2O3/GST Segmented Structures

Advanced optical materials, 2023-04, Vol.11 (8), p.n/a

2023

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Inverse Design for Silicon Photonics: From Iterative Optimization Algorithms to Deep Neural Networks

Applied sciences, 2021-05, Vol.11 (9), p.3822

2021

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Si Microring Resonator Crossbar Array for On-Chip Inference and Training of the Optical Neural Network

ACS photonics, 2022-08, Vol.9 (8), p.2614-2622

2022

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Photonic Integrated Reconfigurable Linear Processors as Neural Network Accelerators

Applied sciences, 2021-07, Vol.11 (13), p.6232

2021

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Analog nanophotonic computing going practical: silicon photonic deep learning engines for tiled optical matrix multiplication with dynamic precision

Nanophotonics (Berlin, Germany), 2023-03, Vol.12 (5), p.963-973

2023

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Primer on silicon neuromorphic photonic processors: architecture and compiler

Nanophotonics (Berlin, Germany), 2020-10, Vol.9 (13), p.4055-4073

2020

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A review of silicon subwavelength gratings: building break-through devices with anisotropic metamaterials

Nanophotonics (Berlin, Germany), 2021-09, Vol.10 (11), p.2765-2797

2021

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Power monitoring in a feedforward photonic network using two output detectors

Nanophotonics (Berlin, Germany), 2023-03, Vol.12 (5), p.985-991

2023

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On-Chip Reconstructive Spectrometer Based on Parallel Cascaded Micro-Ring Resonators

Applied sciences, 2024-06, Vol.14 (11), p.4886

2024

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Fast and Energy‐Efficient Non‐Volatile III‐V‐on‐Silicon Photonic Phase Shifter Based on Memristors

Advanced optical materials, 2023-12, Vol.11 (24), p.n/a

2023

Volltextzugriff (PDF)

Modelling and Multi-Objective Optimization during ECDM of Silicon Carbide Reinforced Epoxy Composites

SILICON, 2020-02, Vol.12 (2), p.275-288

Antil, Parvesh

2020

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Analog Nanoscale Electro-Optical Synapses for Neuromorphic Computing Applications

ACS nano, 2021-09, Vol.15 (9), p.14776-14785

2021

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Complex-valued trainable activation function hardware using a TCO/silicon modulator

Optical materials express, 2023-10, Vol.13 (10), p.2869

2023

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Mesh-Structure-Enabled Programmable Multitask Photonic Signal Processor on a Silicon Chip

ACS photonics, 2020-10, Vol.7 (10), p.2658-2675

2020

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Design automation of photonic resonator weights

Nanophotonics (Berlin, Germany), 2022-09, Vol.11 (17), p.3805-3822

2022

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Neuromorphic Photonics Based on Phase Change Materials

Nanomaterials (Basel, Switzerland), 2023-05, Vol.13 (11), p.1756

2023

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Accurate nano-photonic device spectra calculation using data-driven methods

Applied physics. A, Materials science & processing, 2024-07, Vol.130 (7), Article 465

2024

Volltextzugriff (PDF)

Deep Learning-Based Prediction of Fabrication-Process-Induced Structural Variations in Nanophotonic Devices

ACS photonics, 2022-08, Vol.9 (8), p.2623-2633

2022

Volltextzugriff (PDF)

Improving Fabrication Fidelity of Integrated Nanophotonic Devices Using Deep Learning

ACS photonics, 2023-06, Vol.10 (6), p.1953-1961

2023

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Nonvolatile Electrically Reconfigurable Integrated Photonic Switch Enabled by a Silicon PIN Diode Heater

Ultra-low-energy programmable non-volatile silicon photonics based on phase-change materials with graphene heaters

Recent Progress in Silicon‐Based Photonic Integrated Circuits and Emerging Applications

Scalable and compact photonic neural chip with low learning-capability-loss

Characterization and Optimization of Coherent MZI-Based Nanophotonic Neural Networks Under Fabrication Non-Uniformity

MXene‐Nanoflakes‐Enabled All‐Optical Nonlinear Activation Function for On‐Chip Photonic Deep Neural Networks

Nonvolatile Multilevel Switching of Silicon Photonic Devices with In2O3/GST Segmented Structures

Inverse Design for Silicon Photonics: From Iterative Optimization Algorithms to Deep Neural Networks

Si Microring Resonator Crossbar Array for On-Chip Inference and Training of the Optical Neural Network

Photonic Integrated Reconfigurable Linear Processors as Neural Network Accelerators

Analog nanophotonic computing going practical: silicon photonic deep learning engines for tiled optical matrix multiplication with dynamic precision

Primer on silicon neuromorphic photonic processors: architecture and compiler

A review of silicon subwavelength gratings: building break-through devices with anisotropic metamaterials

Power monitoring in a feedforward photonic network using two output detectors

On-Chip Reconstructive Spectrometer Based on Parallel Cascaded Micro-Ring Resonators

Fast and Energy‐Efficient Non‐Volatile III‐V‐on‐Silicon Photonic Phase Shifter Based on Memristors

Modelling and Multi-Objective Optimization during ECDM of Silicon Carbide Reinforced Epoxy Composites

Analog Nanoscale Electro-Optical Synapses for Neuromorphic Computing Applications

Complex-valued trainable activation function hardware using a TCO/silicon modulator

Mesh-Structure-Enabled Programmable Multitask Photonic Signal Processor on a Silicon Chip

Design automation of photonic resonator weights

Neuromorphic Photonics Based on Phase Change Materials

Accurate nano-photonic device spectra calculation using data-driven methods

Deep Learning-Based Prediction of Fabrication-Process-Induced Structural Variations in Nanophotonic Devices

Improving Fabrication Fidelity of Integrated Nanophotonic Devices Using Deep Learning

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