Memristive Micro/Nanoelectronics Laboratory

May the Fourth be with you

We develop next-gen memristive systems, opening novel ways to control the electrical properties of integrated devices and circuits.
Recent News!
  • Our recent study in rad-hard memristor for TID sensor system is covered by IEEE Spectrum.

  • Feasibility study of analogue filters based on memristor, led by Shan Gao, has been published.

  • Invisible ZnO-based Memristor Universal Logic for Reconfigurable Electronics, led by Chen Hua, is live on preprint.

  • Exploring the switching nonuniformity of CBRAM for random number generators, led by Weixin Xu, is live on preprint.

  • Weixin Xu has been awarded an MSc Prize for his achievement as the top aggregate mark in MSc micro and nanotechnology. Congratulations!

Research Scope

Dr Firman Simanjuntak (MInstP, SMIEEE, FHEA) is a Lecturer/Assistant Professor at the University of Southampton. He was granted the prestigious Marie Sklodowska-Curie Individual Fellowship to develop radiation-hardened memristors for artificial intelligence accelerators in space. He is a senior member of the IEEE and a Fellow of the Higher Education Academy. He is an expert in the experimental aspect of nanofabrication

Our Team

Principal Investigator

Postgraduate Researcher (PhD Students)

  • Alex Wang

  • Zohreh Hajiabadi

  • Aiden Graham

MSc Students

  • Guangyu Xue

  • Jing Wen

  • Weixin Xu (MSc), currently at ACMR

  • Shan Gao (MSc), currently at Inspur

  • Chen Hua (MSc)

  • Hanyu Cao (MSc)

  • Zhipeng Liao (MSc), currently at Westlake University

  • Yulin Peng (MSc)

  • Hajira Bazaz (MSc)

Alumni

Partners & Collaborators

nanofabrication, materials characterisation and device physics. He pioneered the neutral ions irradiation technique to achieve world-record low current 42 nm ZnO-based memristor film technology (in 2018) and to control the neuromorphic behavior of memristive artificial synapses (in 2020).

Our projects

black and white computer keyboard
black and white computer keyboard
Recent Projects

Memristor-Enabled NEuromorphic System for Intelligence in Space (MENESIS)

Enormous data streams from active satellites support today’s telecommunication, navigation and security systems. As satellites have limited computing capabilities, most of the data received on Earth is unprocessed, requiring analyses. The processing of such big data is facilitated by artificial intelligence at Earth stations. Related security and efficiency issues are addressed with energy-consuming and costly dependence on a cloud when dealing with data-intensive algorithms. The EU-funded project MENESIS aims to address these problems through a memristor-enabled neuromorphic system allowing efficient, autonomous computing onboard the satellite with data distinguishable from noise before being transmitted to the end-user on the ground. This project was funded under MSCA EC Grant Agreement No. 224 No. 101029535–MENESIS. (https://cordis.europa.eu/project/id/101029535)

a close up of a printed circuit board
a close up of a printed circuit board
Active Projects
  • Simultaneous multi-stimulated sensorial artificial synapses for adaptive neuromorphic computing (SiMSANeC)

    This project is funded by the Royal Society under Grant Agreement No RG\R2\232206-SiMSANeC.

  • The First Step for UK-Taiwan Space Devices Hub

    This project is funded by the Royal Society under Grant Agreement No IEC\R3\223045.

  • The 1st UK-Indonesia Neuro-inspired Computing Hardware Initiative (NiCHe)

    This project is funded by the Royal Society under Grant Agreement No IES\R2\242017