Reliability of Metal Gate / High-K CMOS devices

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ABSTRACT
Aggressively scaled transistor technologies with metal gate/high-k stacks encounter additional reliability challenges beside bias temperature instability (BTI) in PMOS and NMOS devices, time-dependent dielectric breakdown and hot carrier degradation. Time-zero variability and variability induced by device aging is a growing concern which needs to be modeled using stochastic processes. The physical nature of the stochastic process remains under debate and to support model development efforts large statistical data sets are essential. In addition, self- heating during reliability testing can be observed in novel device structures like bulk FinFET, SOI FinFETs, FDSOI and gate-all-around devices and needs proper attention. Furthermore, to increase the confidence in the discrete device reliability models, device-to-circuit correlations need to be established. In this presentation we discuss how to obtain stochastic BTI data for discrete SRAM and logic devices beyond 3 sigmas, address device-to-circuit correlations using ring- oscillators and explore self-heating effects in FinFET and SOI devices.


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  • Date: 22 Nov 2024
  • Time: 04:00 PM to 05:30 PM
  • All times are (UTC-08:00) Pacific Time (US & Canada)
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  • 6455 Lusk Blvd,
  • San Diego, California
  • United States
  • Building: Qualcomm Q Auditorium
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  • Starts 07 November 2024 12:00 AM
  • Ends 22 November 2024 12:00 AM
  • All times are (UTC-08:00) Pacific Time (US & Canada)
  • No Admission Charge

  Speakers

Dr. Andreas Kerber

Topic:

Reliability of Metal Gate / High-K CMOS devices

ABSTRACT
Aggressively scaled transistor technologies with metal gate/high-k stacks encounter additional reliability challenges beside bias temperature instability (BTI) in PMOS and NMOS devices, time-dependent dielectric breakdown and hot carrier degradation. Time-zero variability and variability induced by device aging is a growing concern which needs to be modeled using stochastic processes. The physical nature of the stochastic process remains under debate and to support model development efforts large statistical data sets are essential. In addition, self- heating during reliability testing can be observed in novel device structures like bulk FinFET, SOI FinFETs, FDSOI and gate-all-around devices and needs proper attention. Furthermore, to increase the confidence in the discrete device reliability models, device-to-circuit correlations need to be established. In this presentation we discuss how to obtain stochastic BTI data for discrete SRAM and logic devices beyond 3 sigmas, address device-to-circuit correlations using ring- oscillators and explore self-heating effects in FinFET and SOI devices.

Biography:

BIOGRAPHY
Andreas Kerber received his Diploma in physics from the University of Innsbruck, Austria, in 2001, and a PhD in electrical engineering from TU-Darmstadt, Germany, with honors in 2004. From 1999 to 2000 he was an intern at Bell Laboratories, Lucent Technologies (Murray Hill, NJ, USA) working on the electrical characterization of ultra-thin gate oxides. From 2001 to 2003, he was the Infineon Technologies assignee to International SEMATECH at IMEC in Leuven, Belgium, where he was involved in the electrical characterization of alternative gate dielectrics for sub-100 nm CMOS technologies. From 2004 to 2006, he was with the Reliability Methodology Department at Infineon Technologies in Munich, Germany, responsible for the dielectric reliability qualification of process technology transfers of 110 and 90 nm memory products. During that time, he developed a low-cost, fast wafer-level data acquisition setup for time-dependent dielectric breakdown (TDDB) testing with sub-ms time resolution. From 2006 to 2018 he was working for AMD in Yorktown Heights, NY, and GLOBALFOUNDRIES in Malta and East-Fishkill, NY, as a Principal Member of Technical Staff on front-end-of-line (FEOL) reliability research with focus on metal gate / high-k CMOS process technology, advanced transistor architecture and device-to-circuit reliability correlation. From 2018 to 2019 he was with Skorpios Technologies in Albuquerque, NM, working on reliability of Si-photonic devices. From 2019 to 2021, he was with ON-Semiconductor in Santa Clara, CA working on product quality management of CMOS image sensors for automotive, consumer and industrial markets. Since 2021 he has been with Intel in Santa Clara, CA working on CMOS reliability for 3D-NAND and now Logic CMOS technologies. Dr. Kerber has contributed to more than 115 journal and conference publications and presented his work at international conferences, including the IEDM, VLSI and IRPS. In addition, he has presented tutorials on metal gate / high-k reliability characterization at the IIRW, IRPS and ICMTS. Dr. Kerber has served as a technical program committee member for the SISC, IRPS, IIRW, IEDM, Infos, ESSDERC, is a Senior Member of the IEEE and a Distinguished Lecturer (DL) for the IEEE Electron Devices Society.