News Release

Ions in the machine: How simple liquids like water can perform complex calculations

Researchers led by Osaka University reveal the excellent information processing abilities of physical reservoirs based on electrochemical reactions in Faradic current and present a simple system for computing systems using electrochemical ion reactions

Peer-Reviewed Publication

Osaka University

Fig. 1

image: In reservoir computing, information propagation is like rippling waves on the surface of a body of water; hence, the term “reservoir” is used. The underwater electrode pictured is the actual multi-terminal electrode used in this study. view more 

Credit: Megumi Akai-Kasaya et al.

Osaka, Japan – After many decades of astonishing developments, advances in semiconductor-based computing are beginning to slow as transistors reach their physical limits in size and speed. However, the requirements for computing continue to grow, especially in artificial intelligence, where neural networks often have several millions of parameters. One solution to this problem is reservoir computing, and a team of researchers led by Osaka University, with colleagues from the University of Tokyo and Hokkaido University, have developed a simple system based on electrochemical reactions in Faradic current that they believe will jump-start developments in this field. 

Reservoir computing is a relatively recent idea in computing. Instead of traditional binary programs run on semiconductor chips, the reactions of a nonlinear dynamical system—the reservoir—are used to perform much of the calculation. Various nonlinear dynamical systems from quantum processes to optical laser components have been considered as reservoirs. In this study, the researchers looked at the ionic conductance of electrochemical solutions.

“Our simple testing device consists of 90 pairs of planar electrodes with an ionic solution dropped on its surface,” explains Professor Megumi Akai-Kasaya, lead author of the study. “The response voltage to the input voltage is then used as the response of the reservoir.” This voltage response is due to both the ionic currents that pass through the solution and the electrochemical current. This input–output relationship is both nonlinear and reproducible, which makes it suitable for use in reservoir computing. A unique multiway data acquisition system on the device controls the readout nodes, which enables parallel testing.

The researchers used the device to evaluate two liquids: polyoxometalate molecules in solution and deionized water. The system displayed a “feedforward connection” between nodes, regardless of which sample was used. However, there were differences. “The polyoxometalate solution increased the diversity of the response current, which makes it good at predicting periodic signals,” says Professor Akai-Kasaya. “But it turns out that deionized water is best for solving second-order nonlinear problems.” The good performance of these solutions demonstrates their potential for more complicated tasks, such as handwriting font recognition, isolated word recognition, and other classification tasks.

The researchers believe that proton or ion transfer with minimal electrochemical reactions over short durations has the potential for development as a more computationally powerful computing system that is low in cost and energy efficient. The simplicity of the proposed system opens up exciting new opportunities for developing computing systems based on electrochemical ion reactions.

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The article, “Physical implementation of reservoir computing through electrochemical reaction,” was published in Advanced Science at DOI: https://doi.org/10.1002/advs.202104076

 

PIO Contact (Hokkaido University)

              Name: Sohail Keegan Pinto

              Organization: Hokkaido University (Website: https://www.global.hokudai.ac.jp/; Twitter: @HokkaidoUni

              Office Phone: +81-11-706-2185

              Cell Phone: Not Applicable

              Email: en-press@general.hokudai.ac.jp

Researcher Contact information:

Professor Megumi Akai-Kasaya

Professor

Graduate School of Science

Osaka University

Tel: +81-668-506-082

Email: akai@chem.sci.osaka-u.ac.jp

Professor (LINAS)

Information Science and Technology (IST)

Hokkaido University

Tel: +81-11-706-6874

Email: akai@ist.hokudai.ac.jp

 

About Osaka University

Osaka University was founded in 1931 as one of the seven imperial universities of Japan and is now one of Japan's leading comprehensive universities with a broad disciplinary spectrum. This strength is coupled with a singular drive for innovation that extends throughout the scientific process, from fundamental research to the creation of applied technology with positive economic impacts. Its commitment to innovation has been recognized in Japan and around the world, being named Japan's most innovative university in 2015 (Reuters 2015 Top 100) and one of the most innovative institutions in the world in 2017 (Innovative Universities and the Nature Index Innovation 2017). Now, Osaka University is leveraging its role as a Designated National University Corporation selected by the Ministry of Education, Culture, Sports, Science and Technology to contribute to innovation for human welfare, sustainable development of society, and social transformation.

Website: https://resou.osaka-u.ac.jp/en

 

About Hokkaido University

Founded in 1876 as Sapporo Agricultural College, Hokkaido University is one of the oldest, largest, and most prestigious universities in Japan. The university attracts prospective students all around the globe with the diverse degree programs offered and the all year round scenic beauty. The campuses are located in the cities of Sapporo and Hakodate of Hokkaido and 21 facilities are spread throughout Hokkaido and mainland Japan, contributing towards the resolution of global issues.

Website: https://www.global.hokudai.ac.jp/

 

 


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