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MemDPU

Dr. Nan Du heading Radiometry group at FSU Jena & Leibniz IPHT

Nan Du, principal investigator in the MemrisTec project MemDPU, changed the affiliation from TU Chemnitz to FSU Jena since 01.12.2021. She is heading the radiometry working group which is part of the Institute of Solid State Physics (IFK) at the Faculty of Physics and Astronomy of the Friedrich Schiller University (FSU) Jena and as well belongs to the Leibniz Institute of Photonic Technology (IPHT). In MemDPU her team develops novel general purpose Domino Processing Units (DPU) as unconventional in-memory-computing paradigm with high efficiency for data-intensive applications. Her group is responsible for the optimization and physical implementation of electroforming-free analog memristors as well as the design and realization of memristive systems.

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Events

MemrisTec Seminar 2021

In the two-day MemrisTec seminar, junior researchers from all nine projects presented their dissertation plans and exchanged ideas about memristive devices for intelligent systems, also with the senior researchers present. In addition, the participants demonstrated a sense for relevant application possibilities in group work and developed concepts for working prototypes. A workshop on planning one’s own doctorate rounded off the offer for the young talents. The event, which was originally planned to take place in Dresden, was held digitally at short notice.

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MIMEC

Prof. Amelie Hagelauer new chairholder Micro- & Nanosystems Technology at TU München

Since September 1, 2021, Prof. Dr.-Ing. Amelie Hagelauer has headed the Chair of Micro- and Nanosystems Engineering at TUM. The appointment was made jointly by the Faculty of Electrical Engineering and Information Technology and the Fraunhofer Research Institution for Microsystems and Solid State Technologies EMFT.

Prof. Hagelauer studied mechatronics at the Friedrich Alexander Universität Erlangen-Nürnberg (FAU) and received his PhD there in 2013 on the topic of “Loss Mechanisms in BAW Components for Mobile Radio Applications.” From September 2016 to August 2019, she worked at FAU as Lecturer and Senior Scientist at the Institute for Electronics Engineering and served as group lead “Electronic Circuits.” Since August 2019, Prof. Hagelauer worked as Full Professor (W3) for Communications Electronics at the University of Bayreuth (UBT), where she participated in the MemrisTec project Memristive In-Memory Computing: radiation hard memories for computers in space (MIMEC).

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MIMEC

MemrisTec Welcome – Tommaso Rizzi

Tommaso Rizzi improves device models for new space applications to supply rural areas with internet by satellites based on radiation-hard electronics. These in-memory computing circuits consist of memristors (resistive RAM).

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News

Dr. Marc Reichenbach new head of Computer Engineering at BTU Cottbus-Senftenberg

The chair of Computer Engineering is now lead by Dr. Marc Reichenbach, who substitutes Prof. Dr.-Ing. habil. Michael Hübner, the new Vice President for Research and Transfer at BTU.

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MemTrap

MemrisTec Welcome – Lautaro Petrauskas

Lautaro Petrauskas aims to protect harmless insects by replacing chemical pesticides that are not selective by large-area traps consisting of printable memcapacitive circuits with low-power consumption for pattern recognition in the MemrisTec project MemTrap.

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Events

Start of MemrisTec Paper Club

As a measure to enhance the knowledge base, especially of junior scientists, and the interdisciplinary scientific discussion, MemrisTec established Paper Club. Here, enrolled scientists meet every two weeks in a virtual meeting and discuss on important papers and reviews. The MemrisTec Paper Club started today with an overview on emerging non-volatile memory technologies like PCM, STTRAM, RRAM, and FeFET.

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Mem²CNN

MemrisTec Welcome – Dr. Vasileios Ntinas

Dr. Vasileios Ntinas aims to develop a hardware implementation of a memristor-based cellular nonlinear network (CNN) for ultra-fast image processing and in-sensor-computing in the MemrisTec project Mem²CNN.

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BioMCross

MemrisTec Welcome – Dr. Richard Schroedter

Dr. Richard Schroedter aims to reduce the power consumption in computing with crossbar structures of memristive and memcapacitive devices in the MemrisTec project BioMCross.

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MemTrap News

Artificial neurons go on moth hunt

Experts at TU Dresden are working on adaptive organic insect traps

Will adaptive “terminator” sensors be able to stop all those insect infestations that otherwise destroy entire harvests in the near future? Optoelectronics and AI experts at the TUD are at least on the right track: in the “MemTrap” (memory trap) project, they want to work together to build adaptive organic terminator chips that can distinguish “good” from “bad” insects and only catch the plagues. This was announced by Prof. Stefan Mannsfeld from the Centre for Advanced Electronics Dresden (cfaed). He is driving the project forward together with Prof. Frank Ellinger and Dr. Bahman K. Boroujeni from the Chair of Circuit Technology and Network Theory.

The researchers want to link neuromorphic adaptive circuits with shape recognition sensors. These chips will be set up in a similar way to fly traps. If an insect comes flying along, the intelligent trap recognises by its outline whether it is a dangerous Gracillariidae or an busy imme, for example – and then eliminates the “bad guys” and keeps the “good guys” flying. The latter is particularly important, as the number of insects that spread pollen and thus secure harvests decreases.

Such clever insect traps would have to be adaptive and efficient on the one hand, and very cheap and space-saving on the other. They should also only consume a few nanowatts of electrical energy so that they can establish themselves in orchards or agricultural fields. This is made possible by an innovation from the TUD: photonics experts from the cfaed and the “Dresden Integrated Center for Applied Physics and Photonic Materials” (IAPP) have developed novel organic light storage devices in recent years. These “PinMOS” memories are a combination of organic light-emitting diodes (OLEDs) and capacitors. Unlike classic computer chips, they can remember not only zeros and ones, but many different digits per cell. And this data can be read and written both by current and by light. In addition, circuits with such organic memory cells can also remember and then recognise patterns – for example, the different shapes of bees and moths.

This article was published in the Dresdner Universitätsjournal 07/2021 of 20 April 2021. The complete issue can be downloaded free of charge from the UJ’s online presence at https://tu-dresden.de/uj or here in pdf format.

Article by Heiko Weckbrodt