Engineering Nanoscale Devices for Novel Computing Paradigms
Engineering Nanoscale Devices for Novel Computing Paradigms
Life changing technologies in health, information technology and energy will be enabled by novel electronics with higher computation power and security, lower energy consumption, and increased production scalability. Currently, we are approaching the limit of classical Si based computing. The future leap for many novel applications in emerging fields such as biomedical simulations, virtual drug discovery, and artificial intelligence will require novel computing paradigms like neuromorphic and quantum computing that go beyond the conventional Von Neumann architecture. In this talk, we will review the key challenges that hinder the progress of novel computing paradigms are 1) limited fundamental understanding of underlying physical and chemical processes, 2) lack of novel materials, optimized device architectures and processing conditions that yield the desired 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 neuromorphic computing. After a brief review of topological qubit platforms, we will shift gears and introduce the physics and operation of memristor devices for neuromorphic computing application. Finally, we will discuss how to optimize the performance of novel computing devices as a function of process parameters using integrated, data-driven, and modular device optimization and fabrication techniques.
Date and Time
Location
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- Date: 28 Apr 2022
- Time: 03:00 PM to 04:00 PM
- All times are (GMT-05:00) US/Eastern
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- Lansing, Michigan
- United States
- Starts 22 April 2022 11:39 PM
- Ends 28 April 2022 02:00 PM
- All times are (GMT-05:00) US/Eastern
- No Admission Charge
Speakers
Dr. Gozde Tutuncuoglu
Assistant Professor, ECE Department, Wayne State University
Biography:
Gozde Tutuncuoglu is an assistant professor at Wayne State University, Department of Electrical and Computer Engineering. Her research interests include nanoelectronics, novel computing devices, neuromorphic and quantum computing. Previously, she was a researcher at Microsoft Quantum Labs in Delft, Netherlands, focusing on developing robust and scalable approaches for topological qubit device fabrication. Prior to Microsoft, she worked as a postdoctoral researcher at Georgia Institute of Technology to study the thermoelectric properties of Si nanowires, and fabrication of Si nanowire transistors, with a special emphasis on reliability, scalability and device-to-device variation. She holds a Ph.D. from Ecole Polytechnique Federale de Lausanne (EPFL) in Switzerland, with her dissertation on "The Growth and Optoelectronic Properties of III-V Nanostructures". Dr. Tutuncuoglu's research is supported by NSF.
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Address:Michigan, United States