Evidence map›Paper›PMID 41417557›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Imperfection in Semiconductors Leading to High Performance Devices.

Jean-Yves Duboz, Matilde Siviero, Lucas Lesourd, Eric Frayssinet, Sebastien Chenot, Petter Hofverberg, Sullivan Marafico, Marie Vidal, Maxime Hugues

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. 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.

Jean-Yves DubozCNRS, CRHEA, Université Côte d'Azur, Valbonne, France.ORCID https://orcid.org/0000-0003-2010-6796
Matilde SivieroCNRS, CRHEA, Université Côte d'Azur, Valbonne, France.
Lucas LesourdCNRS, CRHEA, Université Côte d'Azur, Valbonne, France.
Eric FrayssinetCNRS, CRHEA, Université Côte d'Azur, Valbonne, France.
Sebastien ChenotCNRS, CRHEA, Université Côte d'Azur, Valbonne, France.
Petter HofverbergFédération Claude Lalanne, Cyclotron Biomédical, Centre Antoine Lacassagne, Université Côte d'Azur, Nice, France.
Sullivan MaraficoFédération Claude Lalanne, Cyclotron Biomédical, Centre Antoine Lacassagne, Université Côte d'Azur, Nice, France.
Marie VidalFédération Claude Lalanne, Cyclotron Biomédical, Centre Antoine Lacassagne, Université Côte d'Azur, Nice, France.
Maxime HuguesCNRS, CRHEA, Université Côte d'Azur, Valbonne, France.

Funding

Agence Nationale de la Recherche ANR-22-CE92-0047French-German University/Saarbrücken CDOC-06-2022ITMI Cancer of Aviesan
6 · The paper itself

Abstract

Semiconductors form the basis of high-performance optoelectronic devices, enabling efficient light emission and detection. While crystalline perfection is generally sought to optimize device performance, specific lattice defects can endow materials with unexpected and useful functionalities. Here, we show that engineered defect states in gallium nitride (GaN) diodes markedly enhance their response to high-energy protons. Through a combination of device simulations and experimental measurements, we demonstrate that forward biasing the diode just below its turn-on voltage activates a defect-mediated photoconductive regime. This operating mode induces substantial carrier trapping and photoconductive gain while simultaneously suppressing the dark current-a behaviour in stark contrast to conventional photoconductors. The exploitation of this previously underexplored detection mechanism yields a three-orders-of-magnitude enhancement in sensitivity over standard photovoltaic operation, enabling reliable quantification of proton fluxes down to a few particles per second. This novel mode of operation is not limited to protons but also extends to X-rays and other high-energy particles, and may be generalized to a broader class of semiconductors exhibiting high levels of doping compensation. These findings open new avenues for very low-flux particle detection across diverse application spaces, including medical, astronomy, and industrial imaging.

Indexed as

defectdetectionsemiconductorssensitivitytransport

Identifiers

PMID41417557
PMCPMC12955859

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.