Jack Hwang
Intel
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Publication
Featured researches published by Jack Hwang.
international electron devices meeting | 2004
P. Bai; C. Auth; S. Balakrishnan; M. Bost; Ruth A. Brain; V. Chikarmane; R. Heussner; M. Hussein; Jack Hwang; D. Ingerly; R. James; J. Jeong; C. Kenyon; E. Lee; S.-H. Lee; Nick Lindert; Mark Y. Liu; Z. Ma; T. Marieb; Anand S. Murthy; R. Nagisetty; Sanjay S. Natarajan; J. Neirynck; A. Ott; C. Parker; J. Sebastian; R. Shaheed; Sam Sivakumar; Joseph M. Steigerwald; Sunit Tyagi
A 65nm generation logic technology with 1.2nm physical gate oxide, 35nm gate length, enhanced channel strain, NiSi, 8 layers of Cu interconnect, and low-k ILD for dense high performance logic is presented. Transistor gate length is scaled down to 35nm while not scaling the gate oxide as a means to improve performance and reduce power. Increased NMOS and PMOS drive currents are achieved by enhanced channel strain and junction engineering. 193nm lithography along with APSM mask technology is used on critical layers to provide aggressive design rules and a 6-T SRAM cell size of 0.57/spl mu/m/sup 2/. Process yield, performance and reliability are demonstrated on a 70 Mbit SRAM test vehicle with >0.5 billion transistors.
international electron devices meeting | 2002
Harold W. Kennel; Stephen M. Cea; A.D. Lilak; Patrick H. Keys; Martin D. Giles; Jack Hwang; J. Sandford; S. Corcoran
This paper presents an integrated modeling approach to address diffusion and activation challenges in sub-90 nm CMOS technology. Co-implants of F and Ge are shown to reduce diffusion rates and a new model for the interactive effects is presented. Complex codiffusion behavior of As and P is presented and modeling concepts elucidated. Tradeoffs such as sheet resistance for a given junction depth, and how these depend on impurities, as well as soak vs. spike rapid thermal anneals (RTA), can be understood with simulation models.
Meeting Abstracts | 2008
Karson L. Knutson; Stephan Cea; Martin Giles; Patrick H. Keys; Paul Davids; Cory E. Weber; Lucian Shifren; Roza Kotlyar; Jack Hwang; Suddha Talukdar; Mark Stettler
Design for Manufacturability (DFM) is a phrase that often accompanies discussion of layout optimization for lithography process effects, particularly Optical Proximity Correction (OPC). In an environment where process technology and circuit design are developed together, many other process-layout co-optimization strategies can be investigated. In this paper we discuss physical modeling to enable co-optimization strategies from a device performance point of view by examining layout-induced variation in front-end manufacturing processes used to engineer transistor strain and dopant diffusion/activation.
Archive | 2015
Mark Bohr; Tahir Ghani; Nadia M. Rahhal-Orabi; Subhash M. Joshi; Joseph M. Steigerwald; Jason Klaus; Jack Hwang; Ryan Mackiewicz
Archive | 2004
Mark L. Doczy; Mitchell C. Taylor; Justin K. Brask; Jack T. Kavalieros; Suman Datta; Matthew V. Metz; Robert S. Chau; Jack Hwang
Archive | 2010
Michael L. Hattendorf; Jack Hwang; Anand S. Murthy; Andrew N. Westmeyer
Archive | 2003
Jack Hwang; Craig Andyke; Mitchell C. Taylor
Archive | 2009
Joseph M. Steigerwald; Jack Hwang; Chi-Hwa Tsang; Michael Ollinger; Mengcheng Lu
Archive | 2002
Jack Hwang; Mitchell C. Taylor; Craig Andyke; Mark Armstrong; Jerry Zietz; Harold W. Kennel; Stephen M. Cea; Thomas Hoffman; Seok-Hee Lee
Archive | 2004
Jack Hwang; Mitchell C. Taylor; Mark Y. Liu; Nick Lindert