Evidence map›Paper›PMID 41991979›Full record

ArticleScientific reports2026

Si wafers unpredictable inhomogeneities and their crucial role in porous Si fabrication.

Guido Mula, Muhammad Naseem Akhtar, Francesca Assunta Pisu, Giuseppe Leonetti, Bruno Torre, Luca Boarino, Eleonora Cara

Abstract read
In one paragraph

Article in Scientific reports, 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

7 authors.

Guido MulaPoroSiLab, Dipartimento di Fisica, Università degli Studi di Cagliari, Cittadella Universitaria di Monserrato, S.P. 8 Km 0.700, Monserrato, I-09024, CA, Italy. guido.mula@unica.it.
Muhammad Naseem AkhtarPoroSiLab, Dipartimento di Fisica, Università degli Studi di Cagliari, Cittadella Universitaria di Monserrato, S.P. 8 Km 0.700, Monserrato, I-09024, CA, Italy.
Francesca Assunta PisuPoroSiLab, Dipartimento di Fisica, Università degli Studi di Cagliari, Cittadella Universitaria di Monserrato, S.P. 8 Km 0.700, Monserrato, I-09024, CA, Italy.
Giuseppe LeonettiAdvanced Materials Metrology and Life Sciences Division, INRiM (Istituto Nazionale di Ricerca Metrologica), Strada delle Cacce 91, Torino, 10135, TO, Italy. g.leonetti@inrim.it.
Bruno TorreAdvanced Materials Metrology and Life Sciences Division, INRiM (Istituto Nazionale di Ricerca Metrologica), Strada delle Cacce 91, Torino, 10135, TO, Italy.
Luca BoarinoAdvanced Materials Metrology and Life Sciences Division, INRiM (Istituto Nazionale di Ricerca Metrologica), Strada delle Cacce 91, Torino, 10135, TO, Italy.
Eleonora CaraAdvanced Materials Metrology and Life Sciences Division, INRiM (Istituto Nazionale di Ricerca Metrologica), Strada delle Cacce 91, Torino, 10135, TO, Italy.

Funding

University of Cagliari PoC_UniCa_2022 NanoPSi
6 · The paper itself

Abstract

Porous Silicon (PSi) is a remarkably versatile material, whose structural reproducibility is highly sensitive to substrate properties and fabrication parameters. This study demonstrates that persistent inconsistencies in PSi fabrication originate not from experimental errors, but from undetected nanoscale substrate inhomogeneities that elude standard metrology. We identify these features as small-scale inhomogeneities occurring at densities as high as 8 × 108 cm-2, representing a nine-orders-of-magnitude increase over the industrial defect standards. Scanning Electron Microscopy and Kelvin Probe Force Microscopy (KPFM) were employed to probe these fluctuations, establishing a detection threshold for both defect density and charge carriers concentration fluctuations and confirming that such defects remain hidden to high-end surface metrology while critically impacting electrochemical etching. We propose that the observed morphology distortions probably result from a localized modulation of the depletion region and a consequent redirection of the tunneling current. Our results highlight how these unpredictable inhomogeneities dictate the local transition from ordered vertical growth to stochastic branched structures. Furthermore, we propose Electrochemical NanoLithography (ENL) as a high-sensitivity diagnostic tool to map these defects, enabling the efficient selection of optimal and homogeneous wafers. By ensuring substrate consistency, this approach significantly enhances the reliability of experimental data and paves the way for the successful transition of PSi technologies from laboratory research to large-scale industrial applications.

Indexed as

Bulk Si inhomogeneitiesDopingPorosityPorous silicon

Identifiers

PMID41991979
PMCPMC13243455

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.