Heterojunction-Driven Stochasticity Bi-Heterojunction Noise-Enhanced Negative Transconductance Transistor in Image Generation

Heterojunction-Driven Stochasticity : Bi-Heterojunction Noise-Enhanced Negative Transconductance Transistor in Image Generation

© 2025 The Author(s). Advanced Materials published by Wiley‐VCH GmbH.

Bibliographische Detailangaben
Veröffentlicht in:Advanced materials (Deerfield Beach, Fla.). - 1998. - 37(2025), 41 vom: 17. Okt., Seite e2505150
1. Verfasser: Han, Youngmin (VerfasserIn)
Weitere Verfasser: Koo, Ryun-Han, Song, Jaechan, Kim, Chang-Hyun, Lee, Eun Kwang, Shin, Wonjun, Yoo, Hocheon
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2025
Zugriff auf das übergeordnete Werk:Advanced materials (Deerfield Beach, Fla.)
Schlagworte:Journal Article Bi‐heterojunction low‐frequency noise multi‐valued logic negative transconductance noise enhancement stochastic electronics
Beschreibung
Zusammenfassung:© 2025 The Author(s). Advanced Materials published by Wiley‐VCH GmbH.
Reliable true-random number generator (TRNG) hardware demands amplified intrinsic noise and multi-bit entropy output, which are difficult to achieve in conventional single-device TRNG implementation. A bi-heterojunction noise-enhanced negative transconductance (BHN-NTC) transistor is presented, incorporating an asymmetric PTCDI-C13 layer into an NTC transistor. This design enhances electron injection, expanding the NTC region (19 → 27 V) and increasing negative transconductance (-0.036 µS at VGS = -11 V → -0.073 µS at VGS = -15 V) by reducing the electron injection barrier (≈2.13 eV → ≈0.41 eV). The bi-heterojunction configuration introduces a strong correlation between noises, including trapping/detrapping and generation/recombination processes. This property enables a threefold higher entropy throughput in TRNG, achieving a 3-bit output per sampling event. The BHN-NTC-driven TRNG leverages increased noise-induced entropy to generate more diverse latent vectors, mitigating mode collapse and enabling the synthesis of high-quality, realistic images. This significantly enhances StyleGAN2-based image generation, improving performance metrics such as Frechet inception distance (FID) (18.7 → 8.3), kernel inception distance (KID) (0.024 → 0.009), inception score (IS) (6.5 → 9.2), and multi-scale structural similarity (MS-SSIM) (0.43 → 0.21). Consequently, the BHN-NTC transistor establishes a scalable stochastic noise platform, advancing applications in secure electronics and probabilistic stochastic computing
Beschreibung:Date Revised 19.10.2025
published: Print-Electronic
Citation Status PubMed-not-MEDLINE
ISSN:1521-4095
DOI:10.1002/adma.202505150