Evidence map›Paper›PMID 38782947›Full record

ArticleScientific reports2024

Physics to system-level modeling of silicon-organic-hybrid nanophotonic devices.

Maryam Moridsadat, Marcus Tamura, Lukas Chrostowski, Sudip Shekhar, Bhavin J Shastri

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Maryam MoridsadatDepartment of Physics, Center of Nanophotonics, Engineering Physics and Astronomy, Queen's University, 64 Bader Lane, Kingston, ON, K7L 3N6, Canada. m.moridsadat@queensu.ca.
Marcus TamuraDepartment of Physics, Center of Nanophotonics, Engineering Physics and Astronomy, Queen's University, 64 Bader Lane, Kingston, ON, K7L 3N6, Canada.
Lukas ChrostowskiDepartment of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
Sudip ShekharDepartment of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
Bhavin J ShastriDepartment of Physics, Center of Nanophotonics, Engineering Physics and Astronomy, Queen's University, 64 Bader Lane, Kingston, ON, K7L 3N6, Canada. Shastri@ieee.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 silicon photonics devices. However, a comprehensive and accurate modeling methodology of SOH devices, such as modulators corroborating experimental results, is lacking. While some preliminary modeling approaches for SOH devices exist, their reliance on theoretical and numerical methodologies, along with a lack of compatibility with electronic design automation (EDA), hinders their seamless and rapid integration with silicon PICs. Here, we develop a phenomenological, building-block-based SOH PICs simulation methodology that spans from the physics to the system level, offering high accuracy, comprehensiveness, and EDA-style compatibility. Our model is also readily integrable and scalable, lending itself to the design of large-scale silicon PICs. Our proposed modeling methodology is agnostic and compatible with any photonics-electronics co-simulation software. We validate this methodology by comparing the characteristics of experimentally demonstrated SOH microring modulators (MRMs) and Mach Zehnder modulators with those obtained through simulation, demonstrating its ability to model various modulator topologies. We also show our methodology's ease and speed in modeling large-scale systems. As an illustrative example, we use our methodology to design and study a 3-channel SOH MRM-based wavelength-division (de)multiplexer, a widely used component in various applications, including neuromorphic computing, data center interconnects, communications, sensing, and switching networks. Our modeling approach is also compatible with other materials exhibiting the Pockels and Kerr effects. To our knowledge, this represents the first comprehensive physics-to-system-level EDA-compatible simulation methodology for SOH modulators.

Identifiers

PMID38782947
PMCPMC11116435

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.