Zobrazeno 1 - 10
of 220
pro vyhledávání: '"Bhavin J. Shastri"'
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-7 (2024)
Abstract Increasingly, artificial intelligent systems look to neuromorphic photonics for its speed and its low loss, high bandwidth interconnects. Silicon photonics has shown promise to enable the creation of large scale neural networks. Here, we pro
Externí odkaz:
https://doaj.org/article/c68f8e88b0ef43bc8e5939466f8c7c86
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract The continuous growth in data volume has sparked interest in silicon-organic-hybrid (SOH) nanophotonic devices integrated into silicon photonic integrated circuits (PICs). SOH devices offer improved speed and energy efficiency compared to si
Externí odkaz:
https://doaj.org/article/c17aa0e0586f491c890cb003cf9b264d
Autor:
Joshua C. Lederman, Simon Bilodeau, Eli Doris, Eric C. Blow, Weipeng Zhang, Yusuf Jimoh, Bhavin J. Shastri, Paul R. Prucnal
Publikováno v:
APL Photonics, Vol 9, Iss 7, Pp 076117-076117-10 (2024)
Analog photonic information processing can be implemented with low chip area using wavelength-division multiplexed systems, which typically manipulate light using micro-ring resonators. Micro-rings are uniquely susceptible to thermal crosstalk, with
Externí odkaz:
https://doaj.org/article/0b5b98e6bf004965bb706d949e3dbd1c
Autor:
Sudip Shekhar, Wim Bogaerts, Lukas Chrostowski, John E. Bowers, Michael Hochberg, Richard Soref, Bhavin J. Shastri
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract 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 devices from thousands to millions-mainly in the form of comm
Externí odkaz:
https://doaj.org/article/41d59e643f484d059213b769e8de0a8e
Autor:
Weipeng Zhang, Joshua C. Lederman, Thomas Ferreira de Lima, Jiawei Zhang, Simon Bilodeau, Leila Hudson, Alexander Tait, Bhavin J. Shastri, Paul R. Prucnal
Publikováno v:
Light: Science & Applications, Vol 13, Iss 1, Pp 1-12 (2024)
Abstract Radio-frequency interference is a growing concern as wireless technology advances, with potentially life-threatening consequences like interference between radar altimeters and 5 G cellular networks. Mobile transceivers mix signals with vary
Externí odkaz:
https://doaj.org/article/4f3707c7ea0c4d8983c333d1dc117bda
Autor:
Joshua C. Lederman, Weipeng Zhang, Thomas Ferreira de Lima, Eric C. Blow, Simon Bilodeau, Bhavin J. Shastri, Paul R. Prucnal
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract mmWave devices can broadcast multiple spatially-separated data streams simultaneously in order to increase data transfer rates. Data transfer can, however, be compromised by interference. Photonic blind interference cancellation systems offe
Externí odkaz:
https://doaj.org/article/e1eb79866e9c44e9a9a82241c11ad259
Autor:
Weipeng Zhang, Alexander Tait, Chaoran Huang, Thomas Ferreira de Lima, Simon Bilodeau, Eric C. Blow, Aashu Jha, Bhavin J. Shastri, Paul Prucnal
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
The authors present an integrated photonic processor for blind source separation (BSS) to address broadband radio-frequency interference issues. The photonic BSS achieves 19.2 GHz processing bandwidth with highly energy-efficient BSS processing of su
Externí odkaz:
https://doaj.org/article/e164d9abcc0744fbadbc2692a310599d
Autor:
Enxiao Luan, Shangxuan Yu, Mahsa Salmani, Mohammadreza Sanadgol Nezami, Bhavin J. Shastri, Lukas Chrostowski, Armaghan Eshaghi
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-17 (2023)
Abstract We propose a photonic processing unit for high-density analog computation using intensity-modulation-based microring modulators (IM-MRMs). The output signal at the fixed resonance wavelength is directly intensity modulated by changing the ex
Externí odkaz:
https://doaj.org/article/732ba0b51f7f4a53869cc89ffce8610f
Autor:
Jagmeet Singh, Hugh Morison, Zhimu Guo, Bicky A. Marquez, Omid Esmaeeli, Paul R. Prucnal, Lukas Chrostowski, Sudip Shekhar, Bhavin J. Shastri
Publikováno v:
APL Photonics, Vol 7, Iss 4, Pp 046103-046103-14 (2022)
One of the significant challenges in neuromorphic photonic architectures is the lack of good tools to simulate large-scale photonic integrated circuits. It is crucial to perform simulations on a single platform to capture the circuit’s behavior in
Externí odkaz:
https://doaj.org/article/8242f8490b0349ddae03f81957f51b44
Autor:
Chaoran Huang, Volker J. Sorger, Mario Miscuglio, Mohammed Al-Qadasi, Avilash Mukherjee, Lutz Lampe, Mitchell Nichols, Alexander N. Tait, Thomas Ferreira de Lima, Bicky A. Marquez, Jiahui Wang, Lukas Chrostowski, Mable P. Fok, Daniel Brunner, Shanhui Fan, Sudip Shekhar, Paul R. Prucnal, Bhavin J. Shastri
Publikováno v:
Advances in Physics: X, Vol 7, Iss 1 (2022)
Neural networks have enabled applications in artificial intelligence through machine learning, and neuromorphic computing. Software implementations of neural networks on conventional computers that have separate memory and processor (and that operate
Externí odkaz:
https://doaj.org/article/b3c47388277c4f63929bcfe87ddd1369