
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
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
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)
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