MemrisTec
MemrisTecStarting in 2020, the TU Dresden will take over the coordination of the new priority program “Memristive Devices Toward Smart Technical Systems” (SPP 2262) established by the German Research Foundation (DFG). The program, headed by Prof. Dr. Ronald Tetzlaff, Chair of Fundamentals of Electrical Engineering, will receive funding of almost 12 million euros for the time period 2021-2026 to support research projects on memristive systems.
Memristors are nanoelectric devices capable of storage and computation. Their specific properties make it possible to integrate significantly more memory than before in a very small space and to create novel, biologically inspired networks for information processing.
This creates electronic circuits whose performance is significantly greater than that of conventional semiconductor solutions. The highly efficient and faster memory technologies are better able than conventional technologies to meet the challenges of the Internet of Things. Due to their high efficiency and small size, memristors also allow the development of highly sensitive biosensors, which are particularly interesting for medical technology. Such sensors can be used, for example, to detect cancer cells very sensitively at low concentrations. Moreover, memristors are particularly well suited for imaging the learning behavior of synapses in neuromorphic electronic systems, i.e. the development of artificial brains. That is, in the future, computers may be created that can “think” and “learn” with memristors. In addition, a multitude of other possible applications is conceivable.
Memristor-based Dendritic Analog Computing Enhancement
Neurotransistor-based Memristive Crossbar Memcomputing
Memristive circuits for analogue computing with Redox-based memristive devices
Domino Processing Unit: Towards Novel High Efficient In-Memory-Computing
High Performance Computing in Memristive Crossbars by Thermal-Heat Coupling
Memristive In-Memory-Computing: Radiation hard Memory for Computing in Space
Organic Memcapacitors for Large-Area, Neuromorphic Pattern Recognition: Development of an Electronic Trap System
Structural plasticity and multi-time-scale learning in physical reservoirs
Universal Memcomputing in Hardware Realizations of Memristor Cellular Nonlinear Networks
Robust Compute-in Memory using Memristors
REservoir COMputing with MEmristive Nonlinear Dynamics: Theory, Design and Application
Bio inspired Memcomputing via Crossbar Structures
Memristive hybrid on-chip memory for a low-power RISC-V processor - Design and Implementation
Hybrid MEMristor-CMOS Micro Electrode Array bio-sensing platform
Hybrid Memristive Device with Multilevel-Modulated Electrical Conductance of Interfaced Atomically Thin 2D Materials and Molecular Oxides
Reconfigurable logic and Multi-bit in-memory processing with ferroelectric memristors
Memristive Time Difference Encoder
It is only in the last ten years or so that researchers from science and industry have been intensively studying the theory of memristors.
The mission of MemrisTec is to bring together the two groups as well as researchers from other disciplines to explore the scientific basis of the memristor and enable industrial application. The priority program particularly supports projects that focus on a link between theoretical and experimental research.
Prof. Dr. Ronald Tetzlaff
Coordination MemrisTec
memristec@tu-dresden.de
Tel.: +49 351 463-32328
Fax.: +49 351 463-37042
Technische Universität Dresden
ING / ETIT / IEE / GE
01062 Dresden