Evidence map›Paper›PMID 34483360›Full record

ArticleJournal of applied physics2021

Materials for emergent silicon-integrated optical computing.

Alexander A Demkov, Chandrajit Bajaj, John G Ekerdt, Chris J Palmstrøm, S J Ben Yoo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of applied physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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.

Alexander A DemkovDepartment of Physics, The University of Texas, Austin, Texas 78712, USA.ORCID 0000-0003-4241-3519
Chandrajit BajajDepartment of Computer Science, The University of Texas, Austin, Texas 78712, USA.ORCID 0000-0002-9619-3278
John G EkerdtDepartment of Chemical Engineering, The University of Texas, Austin, Texas 78712, USA.ORCID 0000-0002-1788-5330
Chris J PalmstrømDepartments of Electrical & Computer Engineering and Materials, University of California, Santa Barbara, California 93106, USA.ORCID 0000-0003-4884-4512
S J Ben YooDepartment of Electrical and Computer Engineering, University of California, Davis, California 95616, USA.

Funding

Mathematical Chemical Imaging with Uncertainty Quantification R01GM117594 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BAJAJ, CHANDRAJIT L · 2015 to 2018
$1.6M
NIGMS NIH HHS R01 GM117594
6 · The paper itself

Abstract

Progress in computing architectures is approaching a paradigm shift: traditional computing based on digital complementary metal-oxide semiconductor technology is nearing physical limits in terms of miniaturization, speed, and, especially, power consumption. Consequently, alternative approaches are under investigation. One of the most promising is based on a "brain-like" or

Identifiers

PMID34483360
PMCPMC8378901

What OpenQuestion holds

Textmetadata
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.