Evidence map›Paper›PMID 41901979›Full record

ArticleSensors (Basel, Switzerland)2026

Transient Charge Collection in Ultra-Thin SiC Membranes for Single-Ion Detection.

Enrico Sangregorio, Alfio Samuele Mancuso, Saverio De Luca, Annamaria Muoio, Lucia Calcagno, Francesco La Via

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

6 authors.

Enrico SangregorioConsiglio Nazionale delle Ricerche-Istituto per la Microelettronica e Microsistemi (CNR-IMM), VIII Strada n°5, 95121 Catania, Italy.ORCID 0000-0003-0044-5889
Alfio Samuele MancusoConsiglio Nazionale delle Ricerche-Istituto per la Microelettronica e Microsistemi (CNR-IMM), VIII Strada n°5, 95121 Catania, Italy.ORCID 0009-0009-1912-9959
Saverio De LucaConsiglio Nazionale delle Ricerche-Istituto per la Microelettronica e Microsistemi (CNR-IMM), VIII Strada n°5, 95121 Catania, Italy.
Annamaria MuoioConsiglio Nazionale delle Ricerche-Istituto per la Microelettronica e Microsistemi (CNR-IMM), VIII Strada n°5, 95121 Catania, Italy.ORCID 0000-0003-0837-187X
Lucia CalcagnoDepartment of Physics and Astronomy, University of Catania, 95123 Catania, Italy.
Francesco La ViaConsiglio Nazionale delle Ricerche-Istituto per la Microelettronica e Microsistemi (CNR-IMM), VIII Strada n°5, 95121 Catania, Italy.ORCID 0000-0002-6842-581X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Silicon carbide (SiC) detectors continue to emerge as a promising technology for applications requiring radiation hardness, fast response times, and stable operation in harsh environments. In this work, the charge-collection dynamics of ultra-thin membrane SiC detectors are investigated through time-dependent TCAD simulations, consistent with previously reported measurements. The study analyzes the transient response following the localized generation of electron-hole pairs induced by ions, comparing bulk and membrane detector geometries with identical active-layer thicknesses. Two-dimensional simulations provide a time-resolved characterization of the electron and hole current-density distributions within the active region of the device. The results show that both device architectures present a transient current signal featuring two main components. Despite similarities in the prompt drift-driven signal component, the SiC membrane response is characterized by a short secondary component returning to zero within 3.5 × 10

Indexed as

charge collection dynamicsdeterministic ion implantationmembrane sensorsilicon carbide detectorsTCAD simulations

Identifiers

PMID41901979
PMCPMC13029817

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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.