In Memory computing with Memristive devices

Our current research focuses on overcoming material variability challenges while advancing multi-bit operation, and hybrid CMOS-memristor designs to push the technology toward commercial viability in next-generation AI hardware and edge computing systems.

Merging resistive switches and CMOS for functional circuits

The focus of research of the former Chair of Electrical Engineering and Computer Systems (EECS) at RWTH Aachen University was given in the field of circuits based on resistive switches (RS) and nano-scaled CMOS devices. Particular application domains cover nonvolatile distributed memories, reconfigurable logic, and artificial neural networks.

Shadow Wall Epitaxie: Growth of Tomorrow

The Shadow Wall Technique is a selective orientation-dependent molecular beam epitaxial growth concept for the local definition of the explicit device areas. This enables for the all in-situ fabrication of fully independent complete products such as field-effect transistors (FETs), light-emitters and detectors.

CMOS and memory devices for quantum computing at cryogenic temperatures