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DTSTAMP:20241212T211129Z
UID:99B6E4D6-9561-4371-9B73-A9D62019E3EC
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DESCRIPTION:Recent progress in three-dimensional (3D) integration offers a 
 unique opportunity to integrate low-dimensional semiconductors in a vertic
 ally stacked system for 3D integrated circuits. In this talk\, we will dis
 cuss modeling\, simulation\, and design of two-dimensional (2D) semiconduc
 tors and semiconductor quantum dots to enable neuromorphic and quantum com
 puting functionalities in an integrated system. A multiscale simulation ap
 proach is employed to model the stochastic switching characteristics of 2D
 -semiconductor-based devices for Boltzmann machines\, facilitating efficie
 nt solutions to optimization problems. Furthermore\, technology computer-a
 ided design (TCAD) offers valuable insights into operation principles\, qu
 antum noise limitations\, and quantum gate performance for semiconductor s
 pin-based quantum computing applications.&quot;\n\nBio:\n\nJing Guo is currentl
 y a professor in the Department of Electrical and Computer Engineering at 
 the University of Florida\, Gainesville\, FL\, USA. His research work main
 ly focuses on modeling\, simulation\, and design of nanoscale electronic d
 evices. His group has extensively explored device physics\, assessed perfo
 rmance potentials\, and developed new device concepts for nanoscale transi
 stors based on carbon nanotubes\, graphene\, 2D materials and topological 
 insulators\, and memory cells based on ferroelectric materials. His group 
 has developed efficient simulation methods for quantum-transport-based dev
 ice simulations\, and physics-based models for nanoscale transistors. He h
 as also developed and contributed to some widely used simulation tools dep
 loyed on the nanoHUB\, such as CNTbands. He served in the technical progra
 m committee of the International Device Research Meeting (IEDM) and Device
  Research Conference (DRC). He also serves as an associate editor of Nano-
 Micro Letters. He coauthored a book “Nanoscale Transistors: Device Physi
 cs\, Modeling\, and Simulation.” Published by Springer.\n\nVirtual: http
 s://events.vtools.ieee.org/m/448712
LOCATION:Virtual: https://events.vtools.ieee.org/m/448712
ORGANIZER:hiuyung.wong@sjsu.edu
SEQUENCE:2
SUMMARY:Modeling Low-Dimensional Semiconductors to Enable New Computing Fun
 ctionalities
URL;VALUE=URI:https://events.vtools.ieee.org/m/448712
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;MsoNormal&quot;&gt;Recent progress in three
 -dimensional (3D) integration offers a unique opportunity to integrate low
 -dimensional semiconductors in a vertically stacked system for 3D integrat
 ed circuits. In this talk\, we will discuss modeling\, simulation\, and de
 sign of two-dimensional (2D) semiconductors and semiconductor quantum dots
  to enable neuromorphic and quantum computing functionalities in an integr
 ated system.&amp;nbsp\;&amp;nbsp\;A multiscale simulation approach is employed to 
 model the stochastic switching characteristics of 2D-semiconductor-based d
 evices for Boltzmann machines\, facilitating efficient solutions to optimi
 zation problems. Furthermore\, technology computer-aided design (TCAD) off
 ers valuable insights into operation principles\, quantum noise limitation
 s\, and quantum gate performance for semiconductor spin-based quantum comp
 uting applications.&quot;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p class=&quot;MsoN
 ormal&quot;&gt;Bio:&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;Jing Guo is currently a professor in
  the Department of Electrical and Computer Engineering at the University o
 f Florida\, Gainesville\, FL\, USA. His research work mainly focuses on mo
 deling\, simulation\, and design of nanoscale electronic devices. His grou
 p has extensively explored device physics\, assessed performance potential
 s\, and developed new device concepts for nanoscale transistors based on c
 arbon nanotubes\, graphene\, 2D materials and topological insulators\, and
  memory cells based on ferroelectric materials. His group has developed ef
 ficient simulation methods for quantum-transport-based device simulations\
 , and physics-based models for nanoscale transistors. He has also develope
 d and contributed to some widely used simulation tools deployed on the nan
 oHUB\, such as CNTbands. He served in the technical program committee of t
 he International Device Research Meeting (IEDM) and Device Research Confer
 ence (DRC). He also serves as an associate editor of Nano-Micro Letters. H
 e coauthored a book &amp;ldquo\;Nanoscale Transistors: Device Physics\, Modeli
 ng\, and Simulation.&amp;rdquo\; Published by Springer.&lt;/p&gt;
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