• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Scientists Have Modelled Supercapacitor Operation at Molecular and Ionic Level

Scientists Have Modelled Supercapacitor Operation at Molecular and Ionic Level

© iStock

HSE scientists used supercomputer simulations to study the behaviour of ions and water molecules inside the nanopores of a supercapacitor. The results showed that even a very small amount of water alters the charge distribution inside the nanopores and influences the device’s energy storage capacity. This approach makes it possible to predict how supercapacitors behave under different electrolyte compositions and humidity conditions. The paper has been published in Electrochimica Acta. The study was supported by a grant from the Russian Science Foundation (RSF).

Supercapacitors are compact devices capable of rapidly storing and releasing electrical energy. They are used in electronics, hybrid vehicles, energy recovery systems, and solar and wind power plants. Unlike batteries, which require tens of minutes to several hours to charge and typically endure about 500–1,000 cycles, supercapacitors can charge within seconds and withstand hundreds of thousands of cycles without noticeable loss of capacity—the amount of energy the device can store and release. The limitation of supercapacitors is that, despite their speed, they store less energy than batteries of the same size. Therefore, researchers continue to study supercapacitors to find ways of increasing their energy storage capacity.

Previously, a team of researchers from HSE University investigated the behaviour of ions and electrolyte molecules in carbon nanopores and developed a model of the electric double layer. In a new study, scientists from HSE University and the Institute of Solution Chemistry of the Russian Academy of Sciences modelled, for the first time, the behaviour of electrolytes at the level of individual ions and molecules using HSE University's supercomputer. They studied a mixture of an ionic liquid, an organic solvent, and trace amounts of water confined within carbon micropores 0.7–1.9 nanometres wide. Using the molecular and ionic trajectories obtained, the researchers calculated differential capacitance profiles and compared the results with experimental data.

Yury Budkov

 

'The modelling allowed us to observe how ions and solvent molecules are distributed within the pores, how they form layered structures, and how these layers change with variations in the electrode’s charge,' explains Yury Budkov, Professor at MIEM HSE. 'For the first time, we obtained the differential capacitance of a supercapacitor directly from full-atom molecular dynamics simulations, rather than from simplified theoretical models. This approach allows for more accurate predictions of supercapacitor performance without the need for complex and costly experiments.'

Model of a slit-like pore filled with electrolyte. Different components are color-coded: [EMIM]+ ions in red, [NTF₂] ions in blue, DMSO molecules in green, and water in yellow. Black layers represent charged pore walls, and grey layers represent uncharged walls. The diagram also identifies individual atoms: sulphur in yellow, oxygen in red, fluorine in pink, hydrogen in grey, carbon in cyan, and nitrogen in blue.
© Daria L. Gurina, Sergey E. Kruchinin, Yury A. Budkov, Exploring the relationship between water impurities, electrode charge density, and electric double layer structure and capacitance in carbon micropores, Electrochimica Acta, Volume 535, 2025, 146711, ISSN 0013-4686

The simulation results showed that even trace amounts of water significantly alter the behaviour of the electrolyte in nanopores. Under a weak negative electrode charge, water disrupted the ordering of ions, thereby reducing the differential capacitance. Conversely, under a strong positive electrode charge, water increased the capacitance: its molecules aligned with the electric field and partially offset the effect of the electrode charge on the ions, thereby altering their distribution within the nanopores.

The scientists also found that changes in capacitance with pore thickness are directly associated with fluctuations in disjoining pressure, the excess pressure within a thin liquid film inside the nanopores. For the first time, it was demonstrated that these fluctuations correspond to changes in the device’s capacitance and reflect how the inner layers of the electrolyte shift and compact when the electrode is charged. This analysis helps explain why, in real supercapacitors, variations in humidity or electrolyte composition can lead to increases or decreases in device performance.

Daria Gurina

 

'Even small amounts of water impurities can rearrange the internal structure of the electrolyte within the pore and influence charge storage. Understanding these subtle effects is crucial for the development of new electrolytes and electrode materials,' explains Daria Gurina, Research Fellow at MIEM HSE.

The researchers believe that such models will enable more accurate predictions of supercapacitor performance and contribute to the development of more efficient and durable devices for transportation, electronics, and energy storage systems.

See also:

HSE Computer Science Researchers Win Gold Medal at International Machine Learning Competition

A team comprising HSE International Laboratory of Statistical and Computational Genomics researchers Aleksei Shmelev and Nikita Chervov, 2025 graduate of the HSE Faculty of Computer Science’s Master’s programme in Data Analysis in Biology and Medicine Ivan Gevorkov, and two students from the United States achieved an outstanding result at the 2026 NeuroGolf international machine learning championship. The team won a gold medal and placed seventh overall.

‘Working with AI Solves a Wide Range of Engineering Problems’

Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.

‘The Peak of Stupidity’ and ‘The Valley of Despair’: HSE Economists Propose an Explanation for the Dunning–Kruger Effect

The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

Toffee and Risk: Scientists Discover Why People Who Crave Sweets Make More Impulsive Choices

Having a sweet tooth may be linked not only to eating habits but also to the way people make decisions. Researchers at HSE University have found that people with a preference for sweet foods tend to behave more impulsively—not because they want immediate rewards, but because they are less willing to tolerate uncertainty. These findings may help improve treatments for addiction. The study findings have been published in Frontiers in Psychology.

Advancing Collaboration: HSE Faculty of Computer Science and Harbin Institute of Technology Hold Joint Seminar

From July 13 to 16, 2026, the Faculty of Computer Science hosted the Russian–Sino Research Seminar on Machine Learning Applications, organised by the HSE Laboratory for Cloud and Mobile Technologies in partnership with the Harbin Institute of Technology (China). A delegation comprising seven students and three university representatives travelled to Moscow to take part in an intensive four-day programme.

Physicists Find a Way to Model Ion Parameters in Plasma in Seconds

Researchers from HSE University and the Moscow Institute of Physics and Technology (MIPT) have developed a set of simple analytical methods for calculating the properties of heavy ions in helium under the influence of a strong electric field. The new approach speeds up calculations of ion mobility and ion–molecule reaction rates by thousands of times while maintaining sufficient accuracy for plasma jet modelling. The findings have been published in the journal Physica Scripta.

A New Section on AI and a Prizewinning Paper: Early-Career HSE Researchers Take Part in IEEE EDM Conference

The 27th IEEE International Conference of Young Professionals in Electron Devices and Materials (EDM) has taken place in the Altai Republic. This year, researchers from HSE University presented the results of their research and were involved in organising a new section on artificial intelligence. A paper by HSE master’s student Rodion Sidorenko was awarded third place in the research paper competition at the conference.

Two Years of Growth or Decline: How to Choose an Investment Strategy

Economists from HSE University, together with colleagues from international universities, have analysed stock market movements over almost a century and proposed an investment strategy that could have delivered returns nearly twice as high as the market average. Their research suggests following a momentum strategy during periods of sustained market growth and switching to a value strategy after prolonged market declines. The study has been published in the Journal of Banking and Finance.

Researchers Reveal Link Between Attention and Communication Difficulties in Autism

Researchers at HSE University have examined how communication difficulties in children with autism are related to brain function. The findings show that not only language networks but also attention networks play an important role. The weaker the connections involved in maintaining focus and switching attention, the more pronounced communication difficulties were. The study has been published in European Child & Adolescent Psychiatry.

HSE Initiates Development of Ethical Standard for Anthropomorphic Robots

Beyond technological solutions, the development of anthropomorphic robotics also demands ethical ones. In July 2026, the HSE Institute for Robotics Systems hosted a foresight session dedicated to developing an Ethical Standard for Anthropomorphic Robotic Complexes. Representatives from businesses, government bodies, scientific organisations, and universities gathered to discuss key ethical and legal issues surrounding the development of anthropomorphic robotic complexes. The main outcome of the meeting was a draft of the Ethical Standard.