CMOS-compatible ferroelectric tunnel junctions integrate stochastic sampling and deterministic computing for image generation

cycles, surpassing prior hardware-based approaches and illustrating a viable route toward scalable, on-chip generative AI accelerators.

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Publication Details

Journal
Nature Communications
Published
2026-05-08
DOI
https://doi.org/10.1038/s41467-026-72969-6
Primary Topic
Ferroelectric and Negative Capacitance Devices
Type
article
Field-Weighted Citation Impact
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article

CMOS-compatible ferroelectric tunnel junctions integrate stochastic sampling and deterministic computing for image generation

Jiseong Im, M K Song, Y H Cho, Joon Hwang et al.
Nature Communications
Ferroelectric and Negative Capacitance Devices
article

CMOS-compatible ferroelectric tunnel junctions integrate stochastic sampling and deterministic computing for image generation

Jiseong Im, M K Song, Y H Cho, Joon Hwang, Jonghyun Ko, Jangsaeng Kim, Sangwoo Ryu, Jong-Ho Lee, Daewoong Kwon, Gyuweon Jung, Ryun-Han Koo, Wonjun Shin, Sung-Ho Park
article en

Abstract

cycles, surpassing prior hardware-based approaches and illustrating a viable route toward scalable, on-chip generative AI accelerators.

Nature Communications
SK Group (South Korea) (KR), Seoul National University (KR), Sogang University (KR), National University College (PR), Hanyang University (KR), Sungkyunkwan University (KR)
Openalex Percentile: Top 8%
Ferroelectric and Negative Capacitance Devices
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