Mixed-mode in-memory computing: towards high-performance logic processing in a memristive crossbar array
In the latest issue of Communicatons Engineering, 3, no. 163 (2025), a research team by Nan Du, Ilia Polian, Christopher Bengel, Kefeng Li, Ziang Chen, Xianyue Zhao, Uwe Hübner, Li-Wei Chen, Feng Liu, Massimiliano Di Ventra, Stephan Menzel and Heidemarie Krüger published the article "Mixed-mode in-memory computing: towards high-performance logic processing in a memristive crossbar array".

In collaboration with colleagues from University of Jena, IPHT Jena, UCSD and University of Stuttgart, we proposed a mixed-mode compute paradigm using voltage- and memristance controlled logic in memristive cells. In this paper, we experimentally demonstrate efficient, robust, and scalable in-memory computing implementations.
Letzte Änderung: 29.09.2025