Evidence map›Paper›PMID 35208272›Full record

ReviewMicromachines2022

GaN Heterostructures as Innovative X-ray Imaging Sensors-Change of Paradigm.

Stefan Thalhammer, Andreas Hörner, Matthias Küß, Stephan Eberle, Florian Pantle, Achim Wixforth, Wolfgang Nagel

Open access · goldAbstract readReview
In one paragraph

Review in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Lead-Free Halide Perovskites for Direct X-Ray Detectors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  2. Article
  3. 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

7 authors at 2 institutions in 1 country.

Stefan ThalhammerExperimental Physics I, University of Augsburg, Universitätsstrasse 1, D-86159 Augsburg, Germany.
Andreas HörnerExperimental Physics I, University of Augsburg, Universitätsstrasse 1, D-86159 Augsburg, Germany.ORCID 0000-0002-8136-6850
Matthias KüßExperimental Physics I, University of Augsburg, Universitätsstrasse 1, D-86159 Augsburg, Germany.
Stephan EberleExperimental Physics I, University of Augsburg, Universitätsstrasse 1, D-86159 Augsburg, Germany.
Florian PantleWalter Schottky Institut, Technical University Munich, Am Coulombwall 4, D-85748 Garching, Germany.ORCID 0000-0001-5592-8891
Achim WixforthExperimental Physics I, University of Augsburg, Universitätsstrasse 1, D-86159 Augsburg, Germany.
Wolfgang NagelSenray Technologies GbR, Ebenböckstrasse 23, D-81241 Munich, Germany.
University of Augsburg · DESchott (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Direct conversion of X-ray irradiation using a semiconductor material is an emerging technology in medical and material sciences. Existing technologies face problems, such as sensitivity or resilience. Here, we describe a novel class of X-ray sensors based on GaN thin film and GaN/AlGaN high-electron-mobility transistors (HEMTs), a promising enabling technology in the modern world of GaN devices for high power, high temperature, high frequency, optoelectronic, and military/space applications. The GaN/AlGaN HEMT-based X-ray sensors offer superior performance, as evidenced by higher sensitivity due to intensification of electrons in the two-dimensional electron gas (2DEG), by ionizing radiation. This increase in detector sensitivity, by a factor of 10

Indexed as

2DEGGaN-HEMT mesa structuresX-ray imagingX-ray sensor

Identifiers

PMID35208272
PMCPMC8875526
OpenAlexW4206798823

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.