Evidence map›Paper›PMID 39905893›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2025

Nanoscale Silicon Fingerprints for Counterfeit Prevention in Microchips.

Bo Liu, Amin Farhadi, Theresa Bartschmid, Yamin Zhang, Chunsheng Guo, Shiwei Feng, Gilles R Bourret

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Nanoscale Silicon Fingerprints for Counterfeit Prevention in Microchips.Small (Weinheim an der Bergstrasse, Germany) · 2025
    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.

Bo LiuFaculty of Information Technology, College of Microelectronics, Beijing University of Technology, Beijing, 100124, P. R. China.
Amin FarhadiDepartment of Chemistry and Physics of Materials, University of Salzburg, Salzburg, A-5020, Austria.
Theresa BartschmidDepartment of Chemistry and Physics of Materials, University of Salzburg, Salzburg, A-5020, Austria.
Yamin ZhangFaculty of Information Technology, College of Microelectronics, Beijing University of Technology, Beijing, 100124, P. R. China.
Chunsheng GuoFaculty of Information Technology, College of Microelectronics, Beijing University of Technology, Beijing, 100124, P. R. China.
Shiwei FengFaculty of Information Technology, College of Microelectronics, Beijing University of Technology, Beijing, 100124, P. R. China.
Gilles R BourretDepartment of Chemistry and Physics of Materials, University of Salzburg, Salzburg, A-5020, Austria.ORCID https://orcid.org/0000-0002-9774-1686

Funding

Austrian Academy of Science 25729Austrian Academy of Science 26939Beijing Municipal Science & Technology Commission 4232064Beijing Municipal Science & Technology Commission L234029Beijing Municipal Science & Technology Commission L245013National Natural Science Foundation of China 61974007National Natural Science Foundation of China 62304015
6 · The paper itself

Abstract

The increasing vulnerability of microchips to counterfeiting poses a significant threat to nations, companies, and the general public. Creating a unique "fingerprint" on each chip using intrinsic manufacturing variations can significantly prevent the number of fraudulent chips. Since Si-based semiconductor fabrication processes are now flawless down to a few nanometers, finding a high-entropy source at the nanoscale has become challenging. Inspired by the concept of physical unclonable function, this work reports the CMOS-compatible and lithography-free fabrication of unique nanostructured silicon "fingerprints." Nanostructuring is achieved via low-temperature dewetting and metal-assisted chemical etching, which produces a high level of entropy and unique silicon-based nanoscale fingerprints with linewidths tunable from ≈8 to 140 nm, commensurate with the dimensions of mainstream microfabrication processes. These Si nanofingerprints are highly reliable for chip authentication and against reverse engineering, providing a large encoding capacity of up to 2

Indexed as

chip anti‐counterfeitingdewettingmetal‐assisted chemical etchingphysical unclonable functionshapley value

Identifiers

PMID39905893
PMCPMC11899515

What Socratic 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 Socratic graph.