The University Lecture on “RRAM for Future Memory and Computing Application” will take place as follows:
Date: 7 Jul 2018 (Saturday)
Time: 10:30am – 11:30am
Venue: N21-G013, Lecture Hall, Research Building, University of Macau
The speaker is:
Prof. Ming Liu, Academician of Chinese Academy of Science, IEEE Fellow
Director of the Key Laboratory of Nanofabrication and Novel Devices Integration
Technology and the Key Laboratory of Microelectronics Devices and Integrated Technology
The Lecture is:
RRAM for Future Memory and Computing Application
Abstract:
Benefit from IC aggressive progress in past 60 decades, computing system’s performance has improved 1010 times. As the Moore’s law slow down and the Von Neumann architecture’s limitation, further performance’s enhancement is increasingly constrained. Emerging memory technologies such as resistive RAM (RRAM) are being explored as potential alternatives to existing memories in future computing systems. Especially, due to the excellent compatibility with CMOS process and ease of 3D integration, RRAM provides a promising potential for embedded and standalone application as well as in memory computing. In this talk, current status, challenges and future trends of RRAM technology will be discussed.
Biography:
Ming Liu received the B.S. and M.S. degrees in semiconductor physics and device from Hefei Polytechnic University, Hefei, China, in 1985 and 1988, respectively, and the Ph.D. degree in microelectronics from Beijing University of Aeronautics and Astronauts, China, in 1998. From 1998 to 1999, she was a Postdoctoral Scholar in the Chinese Academy of Sciences (CAS). She joined the Institute of Microelectronics, CAS, in 2000. She is currently the Director of the Key Laboratory of Nanofabrication and Novel Devices Integration Technology and the Key Laboratory of Microelectronics Devices and Integrated Technology. In 2015, she was selected as an Academician of Chinese Academy of Sciences, and IEEE Fellow in 2018. Her research interests are semiconductor materials, integrated- circuit processing, nanofabrication, nano-electronics, molecular electronics, and non-volatile memory.
For more details, kindly find the event poster, abstract and bio.
