via Royal Society of Chemistry
Lack of uniformity is possibly the biggest challenge in today’s technology of memristor devices as it gives rise to problems like inconsistency, stochastic variability, and instability of the memory state. A uniform switching mechanism in memristors is something researchers have been looking in the last several decades.
Now, an international team, led by the scientists from the National University of Singapore (NUS), has developed a solution to address this long-standing problem in the field of organic and molecular electronics.
This work was published in the journal Advanced Materials on 6 September 2020.
Professor T. Venkatesan, who led this project, said, “We are working on an organic material system that is possibly one of the most efficient platforms for realising artificial intelligence and brain-inspired computing. My former graduate student Dr Sreetosh Goswami, who is now a postdoctoral researcher at the NUS Department of Physics, is the key architect of this work. While working on our previous studies on molecular memristors that were published in Nature Materials and Nature Nanotechnology, he discovered that the conductance switching is amazingly uniform.”
“A molecular switching mechanism should ideally be uniform. The fact that no one ever observed a uniform switching puts the credibility of organic memristors into question. What it says is that either the existing measurements are problematic, or the mechanism is non-molecular,” explained Dr Sreetosh.
In this paper, the team resolved the problem by demonstrating a homogeneous molecular switching with less than 7 nanometre spatial resolution. This work also provided guidance on how such measurements should be performed, and how ideal molecular switching should look like.
Dr Sreetosh added, “I thank Professor Venkatesan for sending me to France to collaborate with HORIBA on the tunnelling enhanced Raman Spectroscopy measurements. These measurements enabled characterisation at molecular levels, and what we showed here is a small part of the data we have acquired. Much more exciting results are on the way.”
The material systems used in this study is the brainchild of Professor Sreebrata Goswami, who is from the Indian Association for the Cultivation of Science, Kolkata. Professor Sreebrata shared, “The correlation we have observed between micro and nano-scale measurements in this study is just amazing. It shows the homogeneity and scalability of a molecular mechanism in a device. Through nano-Raman spectroscopy, we were able to monitor the individual bonds in a molecule as a function of voltage. Such deterministic understanding of molecular mechanism charts routes to design new molecular systems, and we are currently in progress of doing so.”
“While usual memristors show switching energy in the order of pico joule, these devices promise switches with energy dissipation in the range of atto joules. This is a huge advantage offered by the material system,” elaborated Associate Professor Ariando. He is a co-author of the paper, and also the lead Principal Investigator of the grant that supported this research.
This research was conducted in collaboration with HORIBA in France, and Professor Stanley Williams of Texas A&M University.
The NUS research team is currently using these molecular platforms to realise brain-inspired functionalities such as unsupervised learning, classification in addition to probabilistic computing.
“We believe this has the potential to revolutionise current technology by orders of magnitude in terms of energy cost,” said Prof Venkatesan.
The Latest Updates from Bing News & Google News
Go deeper with Bing News on:
Memristor devices
- Memristor Market 2024 | Dynamics, Manufacturer, Status, Outlook and Opportunitieson April 9, 2021 at 4:43 am
Major companies operating in the Memristor market are Knowm Inc., Intel Corporation, Panasonic Corporation, Micron Technology, Inc., Rambus Incorporated, HP Development Company, Samsung, Toshiba ...
- Intrinsic closes £1.35m seed funding roundon April 8, 2021 at 5:01 pm
and is based on the technology known as ‘Flash’ memory. At the heart of Intrinsic’s technology is a ‘memristor’, also known as ReRAM or RRAM, invented by the company’s founders, Professor Tony Kenyon ...
- Intrinsic closes GBP 1.35m seed funding round to prototype next generation memory deviceson April 8, 2021 at 8:42 am
Memory innovator Intrinsic Semiconductor Technologies Ltd (“Intrinsic”) has announced the close of a £1.35m seed funding round led by investors UCL Technology Fund and IP Group plc.
- Tech Newson April 6, 2021 at 3:40 pm
Apple is moving a step closer to opening up its handy Find My network to third-party devices with a … ...
- New Functional Materials and Emerging Device Architectures for Nonvolatile Memorieson April 2, 2021 at 2:00 am
Understanding the role of process parameters on the characteristics of transition metal oxide RRAM/memristor devices Rashmi Jha 11. Memristive switches with two switching polarities in a forming free ...
Go deeper with Google Headlines on:
Memristor devices
Go deeper with Bing News on:
Memristors
- Memristor Market 2024 | Dynamics, Manufacturer, Status, Outlook and Opportunitieson April 9, 2021 at 4:43 am
Various attractive features such as compact size, short read & write timing, and high retention gaining the popularity of memristors among wide application areas such as defense, electronics, IT & ...
- 90% yield production of polymer nano-memristor for in-memory computingon March 31, 2021 at 3:31 am
The recently well studied memristors, with their CMOS compatibility 7, fast switching speed and low power potential 8, are considered as promising candidates for high density information storage 9.
- New theory unveils obscure nonvolatile resistive switching in 2D materialson March 24, 2021 at 1:05 am
Several recent reports show that a highly dense crossbar array of memristors can outperform state-of-the-art computers in executing complex AI algorithms. Proposed mechanism of resistive switching in ...
- Energy-efficient Mott activation neuron for full-hardware implementation of neural networkson March 18, 2021 at 11:13 am
Energy- and area-efficient vanadium-dioxide-based Mott activation neuron devices enable the implementation of activation functions in neural networks.
- New Part Day: Memristorson March 15, 2021 at 5:00 pm
That’s only $30 per memristor, and it’s the first time you can buy them. These memristors are based on a silver chalcogenide (Ge2Se3). When a circuit ‘writes’ to this memristor and ...