Project: NEUROTEC II

Goals

The Demonstrator Project (DP) work package focuses on developing systems, circuits, and technologies to gain in-depth insights into memristor integration, control, and operation, with the goal of creating commercially viable, technology-transferable solutions.

Contacts

Dr. Andre ZambaniniScientific CoordinatorBuilding 02.5 / Room 235+49 2461/61-96916
Christian GrewingScientific CoordinatorBuilding 02.5 / Room R 132+49 2461/61-96430
Sabitha KusumaScientific CoordinatorBuilding 02.5 / Room E1+49 2461/61-96750
Dr. -Ing Arun AshokScientific CoordinatorBuilding 02.5 / Room 202+49 2461/61-6542
Kay WinterbergResearcherBuilding 02.5 / Room E1+49 2461/61-85646

Project Description

The BMBF-funded NEUROTEC project is at the forefront of advancing high-tech capabilities and fostering structural transformation in the digitalization sector. It focuses on the development of innovative neuromorphic electronic hardware and accompanying software, with the memristive cell as its core technology, utilizing various physical memory mechanisms. Through a combination of fundamental research and the creation of demonstrators, the project collaborates closely with industry partners in the Rhineland region, driving technological progress and industrial innovation. Together with its sister project NeuroSys thriving economic ecosystem for neuromorphic AI hardware and software in the Aachen-Jülich region is envisaged.

Find out more about NEUROTEC.

This work has been supported by the German Federal Ministry of Education and Research (BMBF) with grant number 16ME0398K.

Tapedout Chips under NEUROTEC II

D0
Dolphin-DAD
Dolphin-SNN

Do
Dolphin-Dad
Dolphin-SNN
  • 6x6 mm 28nm CMOS Chip
  • Integrated CMOS structures for 1T1R, 2T1R memristor units
  • Integrated Content Addressable Memory units and arrays
  • Integrated Compute in Memory unit and arrays
  • VCM and PCM mode memristor units
  • 1.4 x 1 mm 28nm CMOS Chip in QFN 40
  • Integrated Memristor Control circuit HRS, LRS and read for 2 x 2 arrays
  • Current mode SAR ADC with adaptive Dynamic range
  • Integrated RISC-V and memory for error correction and control
  • 1.4 x 1 mm 28nm CMOS Chip in QFN 40
  • 7 coupled PLLs for Oscillatory Neural Network
  • Analog and multilevel phase coupling
  • Scalable ONN with all to all and multi cluster coupling

Doctoral Researches - DR Projects

Meet the Team

Abdelaziz AmmariResearcherBuilding 02.5 / Room 201+49 2461/61-85280
David ArutinovResearcherBuilding 02.5 / Room E1+49 2461/61-9408
Dr. -Ing Arun AshokScientific CoordinatorBuilding 02.5 / Room 202+49 2461/61-6542
Muhammad Uzair Talal ChishtiDoctoral ResearcherBuilding 02.5 / Room 201+49 2461/61-2423
Anugerah FirdauziDoctoral ResearcherBuilding 02.5 / Room 205+49 2461/61-96916
Christian GrewingScientific CoordinatorBuilding 02.5 / Room R 132+49 2461/61-96430
Daniel KeßelResearcherBuilding 02.5 / Room 127+49 2461/61-96537
Lukas KrystofiakResearcherBuilding 02.5 / Room E1+49 2461/61-85424
Neethu KuriakoseDoctoral ResearcherBuilding 02.5 / Room 222+49 2461/61-2516
Sabitha KusumaScientific CoordinatorBuilding 02.5 / Room E1+49 2461/61-96750
Christian RothResearcherBuilding 02.5 / Room E1+49 2461/61-85094
Yasmeen Neyaz SalwaDoctoral ResearcherBuilding 02.5 / Room 235+49 2461/61-85423
Kay WinterbergResearcherBuilding 02.5 / Room E1+49 2461/61-85646
Dr. Andre ZambaniniScientific CoordinatorBuilding 02.5 / Room 235+49 2461/61-96916

Last Modified: 10.03.2025