What question did this study set out to answer?

To overcome the capacity scaling limits of conventional physical unclonable functions by extracting multiple bias-addressable entropy features from a single Gaussian transistor.

September 18, 2026ACS Nano

Fingerprint-Expanding Gaussian Transistors for Compact Physical Unclonable Functions

View Full Paper

Ask AI

Bookmark

Authors

JLJueun Lee TOTaejun Ohm YHYoungmin Han

Discussion

Member takes

Overview

Experimental study demonstrates bias-addressable multi-entropy generation in heterojunction transistors, highlighting scalable hardware security within compact physical unclonable function arrays.

Key Points

To overcome the capacity scaling limits of conventional physical unclonable functions by extracting multiple bias-addressable entropy features from a single Gaussian transistor.
Fabricated fingerprint-expanding Gaussian (FEG) transistors using an IGZO/DNTT heterojunction to establish separate electron, hole, and interfacial disorder entropy domains.
Characterized electrical responses across the transfer curve branches (rising, peak, falling) and implemented a redundancy-suppressed readout protocol across an 8 × 8 transistor array.
Biasing across the Gaussian-like transfer curve successfully resolved multiple entropy domains exhibiting weak cross-branch correlation.
An 8 × 8 FEG array achieved an optimized candidate challenge space of approximately 1.10 × 10^12 challenge-response pairs while enhancing current margins and diffuseness.

Cite This Study

Lee et al. (2026) studied this question.

synapsesocial.com/papers/6aad0b98de0393d728b89fe5 https://doi.org/10.1021/acsnano.6c14382

View Full Paper

Ask AI

Bookmark

September 18, 2026ACS Nano

Fingerprint-Expanding Gaussian Transistors for Compact Physical Unclonable Functions

View Full Paper

Ask AI

Bookmark

Authors

JLJueun Lee TOTaejun Ohm YHYoungmin Han

Discussion

Member takes

Overview

Experimental study demonstrates bias-addressable multi-entropy generation in heterojunction transistors, highlighting scalable hardware security within compact physical unclonable function arrays.

Key Points

To overcome the capacity scaling limits of conventional physical unclonable functions by extracting multiple bias-addressable entropy features from a single Gaussian transistor.
Fabricated fingerprint-expanding Gaussian (FEG) transistors using an IGZO/DNTT heterojunction to establish separate electron, hole, and interfacial disorder entropy domains.
Characterized electrical responses across the transfer curve branches (rising, peak, falling) and implemented a redundancy-suppressed readout protocol across an 8 × 8 transistor array.
Biasing across the Gaussian-like transfer curve successfully resolved multiple entropy domains exhibiting weak cross-branch correlation.
An 8 × 8 FEG array achieved an optimized candidate challenge space of approximately 1.10 × 10^12 challenge-response pairs while enhancing current margins and diffuseness.

Cite This Study

Lee et al. (2026) studied this question.

synapsesocial.com/papers/6aad0b98de0393d728b89fe5 https://doi.org/10.1021/acsnano.6c14382

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

View Full Paper

Ask AI

Bookmark