181 citations · 648 across the 17 of their papers we have counts for
18 papers
Isolator-Free Laser Operation Enabled by Chip-Scale Reflections in Zero-Process-Change SOI
Omid Esmaeeli, Lukas Chrostowski, Sudip Shekhar
The isolation-free operation of photonic integrated circuits enables dense integration, reducing packaging costs and complexity. Most isolator replacements require a change in the…
Roadmap on Neuromorphic Photonics
Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147
This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…
An integrated evanescent-field biosensor in silicon
Mohammed A. Al-Qadasi, Samantha M. Grist, Matthew Mitchell +9
Decentralized diagnostic testing that is accurate, portable, quantitative, and capable of making multiple simultaneous measurements of different biomarkers at the point-of-need rem…
High-Q Slow-Wave Coplanar Waveguides
Heng-Chia Hsu, Kaushik Dasgupta, Nathan M. Neihart +3
A comprehensive study of methods of maximizing Q for slow-wave coplanar waveguides is described. In addition to the widths of the signal conductor and coplanar ground lines and the…
GHz-rate optical phase shift in light matter interaction-engineered, silicon-ferroelectric nematic liquid crystals
Iman Taghavi, Omid Esmaeeli, Sheri Jahan Chowdhury +10
Organic electro-optic materials have demonstrated promising performance in developing electro-optic phase shifters. Their integration with other silicon photonic processes, nanofab…
Enabling data-driven and bidirectional model development in Verilog-A for photonic devices
Dias Azhigulov, Zeqin Lu, James Pond +2
We present a method to model photonic components in Verilog-A by introducing bidirectional signaling through a single port. To achieve this, the concept of power waves and scatteri…
Neuromorphic Photonic Computing with an Electro-Optic Analog Memory
Sean Lam, Ahmed Khaled, Simon Bilodeau +5
In neuromorphic photonic systems, device operations are typically governed by analog signals, necessitating digital-to-analog converters (DAC) and analog-to-digital converters (ADC…
Physics to System-level Modeling of Silicon-organic-hybrid Nanophotonic Devices
Maryam Moridsadat, Marcus Tamura, Lukas Chrostowski +2
The continuous growth in data volume has sparked interest in silicon-organic-hybrid nanophotonic devices integrated into silicon photonic integrated circuits (PICs). SOH devices of…
120 GOPS Photonic Tensor Core in Thin-film Lithium Niobate for Inference and in-situ Training
Zhongjin Lin, Bhavin J. Shastri, Shangxuan Yu +27
Photonics offers a transformative approach to artificial intelligence (AI) and neuromorphic computing by enabling low-latency, high-speed, and energy-efficient computations. Howeve…
Roadmapping the Next Generation of Silicon Photonics
Sudip Shekhar, Wim Bogaerts, Lukas Chrostowski +4
Silicon photonics has developed into a mainstream technology driven by advances in optical communications. The current generation has led to a proliferation of integrated photonic…
Enhanced Polling and Infiltration for Highly-Efficient Electro-Optic Polymer-Based Mach-Zehnder Modulators
Iman Taghavi, Razi Dehghannasiri, Tianren Fan +7
An ultra-narrow slot waveguide is fabricated for use in highly-efficient, electro-optic-polymer-based, integrated-optic modulators. Measurement results indicate that 's below…
Silicon Photonic Architecture for Training Deep Neural Networks with Direct Feedback Alignment
Matthew J. Filipovich, Zhimu Guo, Mohammed Al-Qadasi +6
There has been growing interest in using photonic processors for performing neural network inference operations; however, these networks are currently trained using standard digita…
Scaling Up Silicon Photonic-based Accelerators: Challenges and Opportunities
M. A. Al-Qadasi, L. Chrostowski, B. J. Shastri +1
Digital accelerators in the latest generation of CMOS processes support multiply and accumulate (MAC) operations at energy efficiencies spanning 10-to-100~fJ/Op. But the operating…
Prospects and applications of photonic neural networks
Chaoran Huang, Volker J. Sorger, Mario Miscuglio +13
Neural networks have enabled applications in artificial intelligence through machine learning, and neuromorphic computing. Software implementations of neural networks on convention…
A 4-Element MIMO Baseband Receiver with >35dB 80MHz Spatial Interference Cancellation
Erfan Ghaderi, Ajith Ramani, Arya Rahimi +2
Next-generation communication systems with wide bandwidths need to operate in interference-limited networks. A discrete-time delay (TD) technique in a baseband receiver array is pr…
Photoconductive Heaters Enable Control of Large-Scale Silicon Photonic Ring Resonator Circuits
Hasitha Jayatilleka, Hossam Shoman, Lukas Chrostowski +1
A multitude of large-scale silicon photonic systems based on ring resonators have been envisioned for applications ranging from biomedical sensing to quantum computing and machine…
Automatic Wavelength Tuning of Series-Coupled Vernier Racetrack Resonators on SOI
Hasitha Jayatilleka, Robert Boeck, Kyle Murray +4
Using in-resonator photoconductive heaters to both sense and control the intra-cavity light intensity of microring resonators, automatic tuning of a silicon-on-insulator two-ring V…
Wavelength tuning and stabilization of microring-based filters using silicon in-resonator photoconductive heaters
Hasitha Jayatilleka, Kyle Murray, Miguel Angel Guillen-Torres +5
We demonstrate that n-doped resistive heaters in silicon waveguides show photoconductive effects with high responsivities. These photoconductive heaters, integrated into microring…