Evidence map›Paper›PMID 37446489›Full record

ArticleNanomaterials (Basel, Switzerland)2023

Self-Powered Sb

Hao Wang, Chaobo Dong, Yaliang Gui, Jiachi Ye, Salem Altaleb, Martin Thomaschewski, Behrouz Movahhed Nouri, Chandraman Patil, Hamed Dalir, Volker J Sorger

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. MoSNanophotonics (Berlin, Germany) · 2025
    Article
  5. Review
  6. 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

10 authors.

Hao WangOptelligence LLC, 10703 Marlboro Pike, Upper Marlboro, MD 20772, USA.ORCID 0000-0002-0444-6750
Chaobo DongDepartment of Electrical and Computer Engineering, The George Washington University, 800 22nd Street, Washington, DC 20052, USA.ORCID 0009-0001-8651-500X
Yaliang GuiDepartment of Electrical and Computer Engineering, The George Washington University, 800 22nd Street, Washington, DC 20052, USA.
Jiachi YeDepartment of Electrical & Computer Engineering, University of Florida, 968 Center Drive 216 Larsen Hall, Gainesville, FL 32611, USA.
Salem AltalebDepartment of Electrical & Computer Engineering, University of Florida, 968 Center Drive 216 Larsen Hall, Gainesville, FL 32611, USA.
Martin ThomaschewskiDepartment of Electrical and Computer Engineering, The George Washington University, 800 22nd Street, Washington, DC 20052, USA.
Behrouz Movahhed NouriOptelligence LLC, 10703 Marlboro Pike, Upper Marlboro, MD 20772, USA.
Chandraman PatilDepartment of Electrical and Computer Engineering, The George Washington University, 800 22nd Street, Washington, DC 20052, USA.ORCID 0000-0001-6362-920X
Hamed DalirDepartment of Electrical & Computer Engineering, University of Florida, 968 Center Drive 216 Larsen Hall, Gainesville, FL 32611, USA.
Volker J SorgerOptelligence LLC, 10703 Marlboro Pike, Upper Marlboro, MD 20772, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Van der Waals (vdWs) heterostructures, assembled by stacking of two-dimensional (2D) crystal layers, have emerged as a promising new material system for high-performance optoelectronic applications, such as thin film transistors, photodetectors, and light-emitters. In this study, we showcase an innovative device that leverages strain-tuning capabilities, utilizing a MoS

Indexed as

2D materialsbroadbandflexible substratephotodetectorphotonic integrated circuitsself-powered

Identifiers

PMID37446489
PMCPMC10343427

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.