Author Of 5 Presentations
TuB3.4 - FOURIER OPTICS COPROCESSOR FOR IMAGE PROCESSING AND CONVOLUTIONAL NEURAL NETWORK
Abstract
Abstract
Convolution Neural Networks (CNN) are artificial networks able to extract features from large dataset by spatial filtering. Here we propose an optical coprocessor able to perform large image filtering and convolutions based on a two stage 4F system and digital micromirror arrays, outperforming current architectures.
TuD3.5 - 2D MATERIAL PRINTER: A NOVEL DETERMINISTIC TRANSFER METHOD FOR ON-CHIP PHOTONIC INTEGRATION
Abstract
Abstract
Here, we demonstrate a novel method of transferring 2D materials resembling the functionality known from printing; utilizing a combination of a sharp micro-stamper and viscoelastic polymer, we show precise placement of individual 2D materials on Si photonic platform without any cross-contamination.
TuE1.4 - SILICON-ON-INSULATOR INTEGRATED ITO-BASED MACH-ZEHNDER MODULATOR
- R. Amin (US) The George Washington University
- R. Maiti (US) The George Washington University
- C. Carfano (US) The George Washington University
- Z. Ma (US) The George Washington University
- M. Tahersima (US) The George Washington University
- Y. Lilach (US) The George Washington University
- D. Ratnayake (US) The George Washington University
- H. Dalir (US) Omega Optics
- V. Sorger (US) The George Washington University
Abstract
Abstract
We demonstrate a monolithically integrated compact ITO electro-optic modulator in silicon on insulator photonics based on a Mach-Zehnder interferometer featuring a high-performance half-wave voltage and active device length product of Vpi*L = 0.52 V-mm.
WE2.2 - 2D TMDCS-BASED NIR PHOTODETECTOR ON A SILICON MICRORING CAVITY
Abstract
Abstract
Here, we report a photodetector (PD) based on heterogeneous integration of Few-layer MoTe2integrated on MRR by using our developed 2D printer technique. The device is realized in a two-terminal in-plane electrode configuration without applying external gating, showing a responsivity of (~0.1 A/W).
WE3.4 - SILICON PHOTONIC ENABLED RESIDUE NUMBER SYSTEM ADDER AND MULTIPLIER
Abstract
Abstract
Here we show a nanophotonic RNS arithmetic implementation by spatially shifting the input waveguides relative to a crossbar routers’ outputs, where the moduli are represented by the number of waveguides. This highly parallelizable in-the-network kernel processes information at 10’s of ps suitable for real-time computing.
Presenter Of 1 Presentation
TuE1.4 - SILICON-ON-INSULATOR INTEGRATED ITO-BASED MACH-ZEHNDER MODULATOR
- R. Amin (US) The George Washington University
- R. Maiti (US) The George Washington University
- C. Carfano (US) The George Washington University
- Z. Ma (US) The George Washington University
- M. Tahersima (US) The George Washington University
- Y. Lilach (US) The George Washington University
- D. Ratnayake (US) The George Washington University
- H. Dalir (US) Omega Optics
- V. Sorger (US) The George Washington University
Abstract
Abstract
We demonstrate a monolithically integrated compact ITO electro-optic modulator in silicon on insulator photonics based on a Mach-Zehnder interferometer featuring a high-performance half-wave voltage and active device length product of Vpi*L = 0.52 V-mm.