Evidence map›Paper›PMID 41426136›Full record

ArticleNanophotonics (Berlin, Germany)2025

Foundry-enabled wafer-scale characterization and modeling of silicon photonic DWDM links.

Robert Parsons, Alexander Oh, James Robinson, Songli Wang, Michael Cullen, Kaylx Jang, Aneek James, Yuyang Wang, Keren Bergman

Abstract read
In one paragraph

Article in Nanophotonics (Berlin, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Robert ParsonsDepartment of Electrical Engineering, Columbia University, New York, NY 10027, USA.ORCID https://orcid.org/0000-0001-5141-5597
Alexander OhDepartment of Electrical Engineering, Columbia University, New York, NY 10027, USA.
James RobinsonDepartment of Electrical Engineering, Columbia University, New York, NY 10027, USA.
Songli WangDepartment of Electrical Engineering, Columbia University, New York, NY 10027, USA.
Michael CullenDepartment of Electrical Engineering, Columbia University, New York, NY 10027, USA.
Kaylx JangDepartment of Electrical Engineering, Columbia University, New York, NY 10027, USA.
Aneek JamesDepartment of Electrical Engineering, Columbia University, New York, NY 10027, USA.
Yuyang WangDepartment of Electrical Engineering, Columbia University, New York, NY 10027, USA.
Keren BergmanDepartment of Electrical Engineering, Columbia University, New York, NY 10027, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AI/ML compute clusters are driving unprecedented bandwidth demands at the package boundary, motivating co-packaged integrated photonics closely co-located with the compute unit. We present a scalable silicon-photonics transceiver platform and a measurement-driven design methodology that together enable dense, energy-efficient DWDM links suitable for in-socket integration. Automated wafer-scale probing on 300 mm active photonic wafers extracts waveguide and resonator statistics using index fitting and comprehensive device characterization. The resulting wafer-scale measurements highlight design points such as wider robust waveguides, whispering gallery mode resonators, and thermally efficient undercut devices, that reduce required thermal tuning power and tighten insertion loss distributions. We propagate the measured distributions through a system model via large-scale Monte Carlo simulations to derive realistic link margins and source power targets. Together, the scalable architecture and wafer-scale measurement-informed design process offer a practical path to high-bandwidth, low energy consumption DWDM links with robust yield.

Indexed as

DWDM linkssilicon photonicswafer-scale photonics

Identifiers

PMID41426136
PMCPMC12717887

What OpenQuestion holds

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LicenceCC BY
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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.