R
Runsheng Wang
Researcher at Peking University
Publications - 268
Citations - 2578
Runsheng Wang is an academic researcher from Peking University. The author has contributed to research in topics: Computer science & MOSFET. The author has an hindex of 23, co-authored 217 publications receiving 1940 citations.
Papers
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Journal ArticleDOI
High-Performance BOI FinFETs Based on Bulk-Silicon Substrate
TL;DR: In this article, a new body-on-insulator (BOI) FinFET device structure based on bulk-Si substrate has been proposed and experimentally demonstrated, which can achieve both low source/drain (S/D) parasitic resistance and effective suppression of the S/D leakage beneath the Si-Fin channel.
Proceedings ArticleDOI
A unified approach for trap-aware device/circuit co-design in nanoscale CMOS technology
Runsheng Wang,Mulong Luo,Shaofeng Guo,Ru Huang,Changze Liu,Jibin Zou,Jianping Wang,Jingang Wu,Nuo Xu,Waisum Wong,Scott Yu,Hanming Wu,Shiuh-Wuu Lee,Yangyuan Wang +13 more
TL;DR: In this paper, the major physical effects caused by gate oxide traps in MOSFETs have been integrated for the first time by a proposed unified approach in realistic manners based on industry-standard EDA tools, aiming at practical trap-aware device/circuit co-design.
Proceedings ArticleDOI
Characterization and analysis of gate-all-around Si nanowire transistors for extreme scaling
Ru Huang,Runsheng Wang,Jing Zhuge,Changze Liu,Tao Yu,Liangliang Zhang,Xin Huang,Yujie Ai,Jinbin Zou,Yuchao Liu,Jiewen Fan,Huailin Liao,Yangyuan Wang +12 more
TL;DR: Recent work on the characterization and analysis of this unique one-dimensional nanowire-channel device with three-dimensional surrounding-gate from experiments and simulation is reviewed, including carrier transport behavior, parasitic effects, noise characteristics, self-heating effect, variability and reliability.
Proceedings ArticleDOI
Complex Random Telegraph Noise (RTN): What Do We Understand?
TL;DR: In this article, the authors investigated the trap coupling effect on RTN amplitudes and time constants in the context of switching traps, and the results are helpful for comprehensive understanding and modeling of RTN and switching traps.
Proceedings ArticleDOI
Variability-and reliability-aware design for 16/14nm and beyond technology
Ru Huang,Xiaobo Jiang,Shaofeng Guo,Pengpeng Ren,Peng Hao,Zhuoqing Yu,Zhe Zhang,Yijiao Wang,Runsheng Wang +8 more
TL;DR: New-generation aging model and circuit reliability simulator for FinFETs were proposed and developed in industry-standard EDA tools and helpful for the robust and resilient design for 16/14nm and beyond.