异质连接驱动的静态性:在图像生成中使用双异质连接噪声增强的负转导电晶体管
Youngmin Han1, Ryun-Han Koo2,3, Jaechan Song4
1Department of Electronic Engineering, Hanyang University, 222 Wangsimni-ro, Seoul, 04763, Republic of Korea.
Advanced materials (Deerfield Beach, Fla.)
|June 25, 2025
概括
一个新的双异质连接噪声增强负传导 (BHN-NTC) 晶体管放大了真随机数发生器 (TRNG) 硬件的内在噪声. 这一突破使得每个采样事件的3位输出,提高图像生成质量.
科学领域:
- 材料科学 材料科学 材料科学
- 电气工程 电气工程
- 计算机科学 计算机科学
背景情况:
- 传统的单个设备真随机数发生器 (TRNG) 硬件努力实现放大内在噪声和多位输出.
- 在TRNG中实现增强的噪声和对于需要高质量的随机性应用至关重要.
研究的目的:
- 为改进TRNG性能提供一种新的双异质连接噪声增强负传导 (BHN-NTC) 晶体管.
- 为了证明BHN-NTC晶体管能够增加吞吐量并提高图像生成质量.
主要方法:
- 将一个不对称的PTCDI-C13层集成到一个负传导 (NTC) 晶体管中,以创建BHN-NTC结构.
- 描述BHN-NTC晶体管的电特性,包括负传导和电子注入屏障.
- 将BHN-NTC晶体管集成到TRNG中,并评估其吞吐量及其对StyleGAN2图像生成的影响.
主要成果:
- BHN-NTC晶体管设计扩大了负传导率 (NTC) 区域,并显著增加了负传导率.
- 在BHN-NTC中减少的电子注入屏障增强了电子注入,导致吞吐量增加了三倍 (每个采样事件的3位输出).
- 由BHN-NTC驱动的TRNG改进了StyleGAN2图像生成,通过增强的Frechet Inception Distance (FID),Kernel Inception Distance (KID),Inception Score (IS) 和多尺度结构相似性 (MS-SSIM) 度量来证明这一点.
结论:
- BHN-NTC晶体管为随机噪声生成提供了一个可扩展的平台,这对于先进的TRNG应用至关重要.
- 这项技术通过实现高质量,多样化的随机数生成,增强了安全的电子和概率的随机计算.
- BHN-NTC晶体管显著推进随机数生成领域及其在生成性AI模型中的应用.
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