Evidence map›Paper›PMID 41559150›Full record

ArticleScientific reports2026

High-fidelity chip delayering using green (515 nm) femtosecond lasers.

Mohammad Taghi Mohammadi Anaei, Matthew Maniscalco, Hongbin Choi, Marcus Emanuel, Wesley Roser, Todor Bliznakov, Toni Moore, Adrian Phoulady, Parisa Mahyari, Alexander Blagojevic and 4 more

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.

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0citing papers in PubMed
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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

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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

14 authors.

Mohammad Taghi Mohammadi Anaei *University of Connecticut, Storrs, CT, USA.
Matthew Maniscalco *University of Connecticut, Storrs, CT, USA.
Hongbin ChoiUniversity of Connecticut, Storrs, CT, USA.
Marcus EmanuelUniversity of Connecticut, Storrs, CT, USA.
Wesley RoserUniversity of Connecticut, Storrs, CT, USA.
Todor BliznakovUniversity of Connecticut, Storrs, CT, USA.
Toni MooreUniversity of Connecticut, Storrs, CT, USA.
Adrian PhouladyUniversity of Connecticut, Storrs, CT, USA.
Parisa MahyariUniversity of Connecticut, Storrs, CT, USA.
Alexander BlagojevicUniversity of Connecticut, Storrs, CT, USA.
Nicholas MayUniversity of Connecticut, Storrs, CT, USA.
Garth C EganThe MITRE Corporation, Bedford, MA, USA.
Sina ShahbazmohamadiUniversity of Connecticut, Storrs, CT, USA. sina.shahbazmohamadi@uconn.edu.
Pouya TavousiUniversity of Connecticut, Storrs, CT, USA. pouya.tavousi@uconn.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurately reconstructing the metal layers of semiconductor chips is essential for legacy hardware support, design validation, and failure analysis. Conventional methods such as mechanical polishing, chemical etching, and focused ion beam (FIB) delayering, while established, tend to be slow, inconsistent, and resource-intensive-making them less suitable for systematic or scalable workflows. To address these limitations, we developed a streamlined approach combining laser-based delayering with high-resolution multimodality microscopy, offering a more efficient and reproducible alternative. Building on our earlier work with infrared laser delayering, which faces challenges related to selective material interactions and uneven ablation, in this work, we have investigated the use of a green (515 nm) laser. This alternative wavelength offers reduced sensitivity to material variations, allowing for more uniform and controlled removal of chip layers. Through a thorough parameter space exploration and optimization process, we achieved significantly cleaner delayering and exposure of underlying structures. The effectiveness of this method is demonstrated through comparative imaging using confocal microscopy and SEM, as well as material analysis via EDS, all showing notable significant improvements in layer clarity and debris reduction. These results highlight the green laser's potential as a powerful tool for high-fidelity chip analysis in modern diagnostics and reverse engineering workflows.

Indexed as

3D imagingDesign Reconstructiondevice delayeringFemtosecond laserMultimodality investigation

Identifiers

PMID41559150
PMCPMC12886949

What OpenQuestion holds

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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.