Simulation of Silicon Nanowire Transistors and De-embedding Study for Advanced RFCMOS/BiCMOS Techno

Jing Wang, Ph.D."Simulation of Silicon Nanowire Transistors and De-embedding Study for Advanced RFCMOS/BiCMOS Technologies"IBM Semiconductor Research and Development CenterAbstract:Semiconductor nanowires are being extensively studied as key materials in today's exciting research on nanotechnology. In particular, nanowire-based transistors have attracted broad attention as a promising substitute for the conventional MOSFET beyond its scaling limits. To understand device physics in depth and to assess the performance limits of these novel nanowire devices, simulation is becoming increasingly important. In this talk, a systematic, computational study of silicon nanowire transistors (SNWTs) is presented. The topics include: 1) 3-D electrostatics and ballistic limits of SNWTs with various cross-sectional shapes, 2) surface roughness scattering in SNWTs and 3) bandstructure effects in Si and Ge nanowire FETs with arbitrary orientations. In addition to the SNWT work, this talk also covers an experimental analysis of various on-wafer de-embedding techniques for RF modeling of advanced RFCMOS and SiGe BiCMOS technologies.Biography:Jing Wang obtained his Bachelor's degree (with the highest honor) in Electronic Engineering from Tsinghua University, China in 2001 and his Ph.D. degree in Electrical and Computer Engineering from Purdue University in 2005. His Ph.D. research, supervised by Prof. Mark Lundstrom, covered device physics and simulation of silicon nanowire transistors, exploration of nanoscale MOSFETs, and simulation of high electron mobility transistors. Since September 2005, Jing Wang has been working as an advisory engineer at the IBM Semiconductor Research and Development Center, Hopewell Junction, NY, where he is currently a technical lead of the compact modeling team developing IBM's next generation CMOS and RFCMOS technologies. Jing Wang is author/co-author of more than twenty journal/conference papers and a book chapter, co-inventor of two issued and seven pending US patents, and recipient of several IBM-internal awards for his invention achievements and his innovative work on RF de-embedding.Date: Monday, March 31, 2008
Place: HNB 100
Time: 2:00 PM – 3:00 PM

Location: Hedco Neurosciences Building (HNB) - 100

Audiences: Everyone Is Invited

Contact: Ericka Lieberknecht