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

HSE Scientists Discover Method to Convert CO₂ into Fuel Without Expensive Reagents

HSE Scientists Discover Method to Convert CO₂ into Fuel Without Expensive Reagents

© iStock

Researchers at HSE MIEM, in collaboration with Chinese scientists, have developed a catalyst that efficiently converts CO₂ into formic acid. Thanks to carbon coating, it remains stable in acidic environments and functions with minimal potassium, contrary to previous beliefs that high concentrations were necessary. This could lower the cost of CO₂ processing and simplify its industrial application—eg in producing fuel for environmentally friendly transportation. The study has been published in Nature Communications

The electrochemical reduction of carbon dioxide is a process in which CO₂ is converted into other chemical compounds through the application of an electric current. It has long been regarded not only as a method for recycling CO₂, but also as a source of valuable raw materials such as formic acid, which can serve as a liquid fuel, solvent, or chemical industry feedstock. 

However, a major challenge in the electrochemical reduction of CO₂ is the occurrence of a side reaction that produces hydrogen, thereby reducing the overall efficiency of the process. In alkaline solutions, this issue is typically addressed by adding more potassium ions (K⁺); however, this not only increases the cost of the process but also leads to precipitation, which clogs the system and hinders its operation. Conversely, in an acidic environment, catalysts degrade rapidly and lose their effectiveness.

A team of researchers, including those from HSE University, has proposed an alternative approach. They developed a catalyst that remains stable in acidic environments while requiring only a minimal amount of potassium. The catalyst is made from indium oxide (In₂O₃) and coated with a thin layer of carbon.

First, through computer modelling, the researchers at HSE MIEM determined how to control the distribution of ions on the catalyst's surface. The model revealed that the carbon coating not only protects the catalyst from degradation but also creates an electric field that holds potassium ions on its surface. As a result, potassium does not precipitate, and undesirable side effects are minimised.

To test the model's predictions, Chinese scientists synthesised indium oxide nanoparticles and encapsulated them in a thin layer of carbon. The team then conducted a series of experiments in an electrolyte reactor, using a highly acidic environment and a fraction of the potassium typically used in conventional systems. The tests showed that even under these conditions, the catalyst remained stable, maintaining activity for over 100 hours, with a CO₂ to formic acid conversion efficiency of 98.9%.

Figure 1. A schematic illustration of the interaction between the carbon layer and indium oxide (In₂O₃) at the electronic level. Purple represents indium atoms, red indicates oxygen atoms, and brown represents carbon atoms. The blue and yellow regions indicate electron density loss and gain, respectively.
© Wang, Z., Liu, D., Xia, C. et al. Tip carbon encapsulation customizes cationic enrichment and valence stabilization for low K+ acidic CO2 electroreduction. Nat Commun 16, 1754 (2025). https://doi.org/10.1038/s41467-025-56977-6

'We have demonstrated that it is possible to eliminate excess potassium hindering the system's operation. This approach not only reduces the cost of the process but also improves catalyst stability,' explains Dongyu Liu, Assistant Professor at HSE MIEM.

To verify that the carbon coating is the key factor, the researchers conducted additional tests. They found that without the coating, indium oxide rapidly reduces to metallic indium, which is far less effective at facilitating the electrochemical reduction of CO₂. This confirms that the carbon layer protects the catalyst, preventing its degradation.

This method not only simplifies CO₂ processing technology but also makes it more accessible for industrial applications. Unlike conventional alkaline systems, it does not require a high concentration of potassium and prevents precipitation. The implementation of this technology in real-world systems could make carbon dioxide recycling more environmentally sustainable.

'We have made the process more stable and scalable, bringing the electrochemical reduction of carbon dioxide closer to real-world industrial applications,' says Andrey Vasenko, Professor at HSE MIEM. 'This technology can be useful not only for synthesising formic acid but also for other processes related to carbon dioxide conversion.'

See also:

Researchers Present the Rating of Ideal Life Partner Traits

An international research team surveyed over 10,000 respondents across 43 countries to examine how closely the ideal image of a romantic partner aligns with the actual partners people choose, and how this alignment shapes their romantic satisfaction. Based on the survey, the researchers compiled two ratings—qualities of an ideal life partner and the most valued traits in actual partners. The results have been published in the Journal of Personality and Social Psychology.

Trend-Watching: Radical Innovations in Creative Industries and Artistic Practices

The rapid development of technology, the adaptation of business processes to new economic realities, and changing audience demands require professionals in the creative industries to keep up with current trends and be flexible in their approach to projects. Between April and May 2025, the Institute for Creative Industries Development (ICID) at the HSE Faculty of Creative Industries conducted a trend study within the creative sector.

From Neural Networks to Stock Markets: Advancing Computer Science Research at HSE University in Nizhny Novgorod

The International Laboratory of Algorithms and Technologies for Network Analysis (LATNA), established in 2011 at HSE University in Nizhny Novgorod, conducts a wide range of fundamental and applied research, including joint projects with large companies: Sberbank, Yandex, and other leaders of the IT industry. The methods developed by the university's researchers not only enrich science, but also make it possible to improve the work of transport companies and conduct medical and genetic research more successfully. HSE News Service discussed work of the laboratory with its head, Professor Valery Kalyagin.

Children with Autism Process Sounds Differently

For the first time, an international team of researchers—including scientists from the HSE Centre for Language and Brain—combined magnetoencephalography and morphometric analysis in a single experiment to study children with Autism Spectrum Disorder (ASD). The study found that children with autism have more difficulty filtering and processing sounds, particularly in the brain region typically responsible for language comprehension. The study has been published in Cerebral Cortex.

HSE Scientists Reveal How Staying at Alma Mater Can Affect Early-Career Researchers

Many early-career scientists continue their academic careers at the same university where they studied, a practice known as academic inbreeding. A researcher at the HSE Institute of Education analysed the impact of academic inbreeding on publication activity in the natural sciences and mathematics. The study found that the impact is ambiguous and depends on various factors, including the university's geographical location, its financial resources, and the state of the regional academic employment market. A paper with the study findings has been published in Research Policy.

Group and Shuffle: Researchers at HSE University and AIRI Accelerate Neural Network Fine-Tuning

Researchers at HSE University and the AIRI Institute have proposed a method for quickly fine-tuning neural networks. Their approach involves processing data in groups and then optimally shuffling these groups to improve their interactions. The method outperforms alternatives in image generation and analysis, as well as in fine-tuning text models, all while requiring less memory and training time. The results have been presented at the NeurIPS 2024 Conference.

When Thoughts Become Movement: How Brain–Computer Interfaces Are Transforming Medicine and Daily Life

At the dawn of the 21st century, humans are increasingly becoming not just observers, but active participants in the technological revolution. Among the breakthroughs with the potential to change the lives of millions, brain–computer interfaces (BCIs)—systems that connect the brain to external devices—hold a special place. These technologies were the focal point of the spring International School ‘A New Generation of Neurointerfaces,’ which took place at HSE University.

New Clustering Method Simplifies Analysis of Large Data Sets

Researchers from HSE University and the Institute of Control Sciences of the Russian Academy of Sciences have proposed a new method of data analysis: tunnel clustering. It allows for the rapid identification of groups of similar objects and requires fewer computational resources than traditional methods. Depending on the data configuration, the algorithm can operate dozens of times faster than its counterparts. Thestudy was published in the journal Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia.

Researchers from HSE University in Perm Teach AI to Analyse Figure Skating

Researchers from HSE University in Perm have developed NeuroSkate, a neural network that identifies the movements of skaters on video and determines the correctness of the elements performed. The algorithm has already demonstrated success with the basic elements, and further development of the model will improve its accuracy in identifying complex jumps. 

Script Differences Hinder Language Switching in Bilinguals

Researchers at the HSE Centre for Language and Brain used eye-tracking to examine how bilinguals switch between languages in response to context shifts. Script differences were found to slow down this process. When letters appear unfamiliar—such as the Latin alphabet in a Russian-language text—the brain does not immediately switch to the other language, even when the person is aware they are in a bilingual setting. The article has been published in Bilingualism: Language and Cognition.