BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Eastern BEGIN:DAYLIGHT DTSTART:20230312T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20221106T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20230629T200233Z UID:DC65CABA-323F-411D-AC5B-8669F45644D0 DTSTART;TZID=US/Eastern:20230125T130000 DTEND;TZID=US/Eastern:20230125T141500 DESCRIPTION:Life changing technologies in health\, information technology a nd energy will be enabled by novel electronics with higher computation pow er and security\, lower energy consumption\, and increased production scal ability. Currently\, we are approaching the limit of classical Si based co mputing. The future leap for many novel applications in emerging fields su ch as biomedical simulations\, virtual drug discovery\, and artificial int elligence will require novel computing paradigms like neuromorphic and qua ntum computing that go beyond the conventional Von Neumann architecture. I n this talk\, we will review the key challenges that hinder the progress o f novel computing paradigms are 1) limited fundamental understanding of un derlying physical and chemical processes\, 2) lack of novel materials\, op timized device architectures and processing conditions that yield the desi red device properties\, 3) reproducibility\, scalability\, and variability issues in device fabrication. In particular\, we will focus on the design of nanoscale devices for novel computing paradigms of quantum and neuromo rphic computing. After a brief review of topological qubit platforms\, we will shift gears and introduce the physics and operation of memristor devi ces for neuromorphic computing application. Finally\, we will discuss how to optimize the performance of novel computing devices as a function of pr ocess parameters using integrated\, data-driven\, and modular device optim ization and fabrication techniques.\n\nSpeaker(s): Dr Gozde Tutuncuoglu\, \n\nNovi\, Michigan\, United States\, 48375\, Virtual: https://events.vto ols.ieee.org/m/344412 LOCATION:Novi\, Michigan\, United States\, 48375\, Virtual: https://events. vtools.ieee.org/m/344412 ORGANIZER:bmavi@outlook.com SEQUENCE:3 SUMMARY:ECE Seminar: Engineering Nanoscale Devices for Novel Computing Para digms URL;VALUE=URI:https://events.vtools.ieee.org/m/344412 X-ALT-DESC:Description: <br /><p>Life changing technologies in health\, inf ormation technology and energy will be enabled by novel electronics with h igher computation power and security\, lower energy consumption\, and incr eased production scalability. Currently\, we are approaching the limit of classical Si based computing.&nbsp\; The future leap for many novel applic ations in emerging fields such as biomedical simulations\, virtual drug di scovery\, and artificial intelligence will require novel computing paradig ms like neuromorphic and quantum computing that go beyond the conventional Von Neumann architecture. In this talk\, we will review the key challenge s that hinder the progress of novel computing paradigms are 1) limited fun damental understanding of underlying physical and chemical processes\, 2) lack of novel materials\, optimized device architectures and processing co nditions that yield the desired device properties\, 3) reproducibility\, s calability\, and variability issues in device fabrication. In particular\, we will focus on the design of nanoscale devices for novel computing para digms of quantum and neuromorphic computing. After a brief review of topol ogical qubit platforms\, we will shift gears and introduce the physics and operation of memristor devices for neuromorphic computing application. Fi nally\, we will discuss how to optimize the performance of novel computing devices as a function of process parameters using integrated\, data-drive n\, and modular device optimization and fabrication techniques.</p> END:VEVENT END:VCALENDAR