Emerging Energy-Efficient Memory Devices Enabled by Nanomaterials

Type Colloquium
Start Date March 22, 2017 03:00 PM
End Date March 22, 2017 04:00 PM
Location 5317 Sennott Square
Organizer Name
Speaker Name Prof. Feng Xiong
Speaker Affiliation University of Pittsburgh
Speaker Bio Dr. Feng Xiong is currently an Assistant Professor in the Electrical and Computer Engineering (ECE) Department at University of Pittsburgh (Pitt). He received his Ph.D. (2014) and M.S. (2010) in EE from the University of Illinois at Urban-Champaign (UIUC) and his B. Eng. in EE (2008) from the National University of Singapore (NUS). Prior to joining Pitt-ECE at 2016, Dr. Xiong was at Stanford University as a postdoc fellow. His research interests are in energy-efficient electronics, next-generation memory devices, novel 1D and 2D materials, flexible electronics, nanoscale thermal transport and renewable energy harvesting. He received several awards including the Nano- and Quantum Science and Engineering Postdoctoral Fellowship, MRS Graduate Student Gold award and TSMC Outstanding Student Research Gold Award. He is a member of IEEE and MRS.
Abstract In today’s big-data era, trillions of sensors will connect every aspect of our lives to the Internet, constantly producing an overwhelming amount of data. Traditionally, logic and memory devices are located in different components, creating a bandwidth and energy barrier – the so-called “memory wall”. The reason why this memory bottleneck exists is because all current memory technologies contain certain limitations such as volatility, low density (SRAM/DRAM), and slow speed (flash). In this talk, I will discuss emerging memory technologies based on phase change memory (PCM) and resistive memory (RRAM), which have the potential to become a universal memory (non-volatile, high density and fast) and break the memory wall. Specifically, I will discuss our approach of using nano materials such as carbon nano tube and graphene in these memory devices to investigate the fundamental scaling limit and improve the energy efficiency.