Novel Memristors to Overcome AI’s "Catastrophic Forgetting"

They consume extremely little power and behave similarly to brain cells: so-called memristors. Researchers from Jülich, led by Ilia Valov, have now introduced novel memristive components in Nature Communications that offer significant advantages over previous versions: they are more robust, function across a wider voltage range, and can operate in both analog and digital modes. These properties could help address the problem of "catastrophic forgetting," where artificial neural networks abruptly forget previously learned information.

PGI-7 group leader retreat 2025

The PGI-7 group leader retreat took place at Falderhof (Sürth, Köln), allowing the PGI-7 team to define future strategies and team building, to foster scientific advances in novel materials, electronics, and neuromorphic computing.

Researchers at the PGI-7 are driving forward the development of ground-breaking 3D electronics

Molybdenene – the "Metallic" Relative of Graphene

Two-dimensional materials like graphene show fascinating properties such as superconductivity, extraordinary strength and exotic quantum phenomena. Scientists at Forschungszentrum Jülich, together with partners, have now created a special material of this kind that exhibits a metallic character. It consists of just one atomic layer of molybdenum atoms and is also referred to as "molybdenene".

"Advanced Electronic Materials" Honours Prof. Rainer Waser as a Pioneer of Memristive Devices

With his scientific research, Prof. Rainer Waser has revitalised the field of memristive devices and pushed it further towards application. The internationally renowned journal "Advanced Electronic Materials" has now paid a very special tribute to the much decorated pioneer and has published a special issue to celebrate his 65th birthday.

Synapses as a model: solid-state memory in neuromorphic circuits

They are many times faster than flash memory and require significantly less energy: memristive memory cells could revolutionize the energy efficiency of neuromorphic computers. In these computers, which are modeled on the way the human brain works, memristive cells function like artificial synapses. Jülich researchers have now summarized the physical principles and models in a comprehensive review article in the renowned journal Advances in Physics.