Physicists Propose New Mechanism to Enhance Superconductivity with 'Quantum Glue'
A team of researchers, including scientists from HSE MIEM, has demonstrated that defects in a material can enhance, rather than hinder, superconductivity. This occurs through interaction between defective and cleaner regions, which creates a 'quantum glue'—a uniform component that binds distinct superconducting regions into a single network. Calculations confirm that this mechanism could aid in developing superconductors that operate at higher temperatures. The study has been published in Communications Physics.
Neural Network Trained to Predict Crises in Russian Stock Market
Economists from HSE University have developed a neural network model that can predict the onset of a short-term stock market crisis with over 83% accuracy, one day in advance. The model performs well even on complex, imbalanced data and incorporates not only economic indicators but also investor sentiment. The paper by Tamara Teplova, Maksim Fayzulin, and Aleksei Kurkin from the Centre for Financial Research and Data Analytics at the HSE Faculty of Economic Sciences has been published in Socio-Economic Planning Sciences.
Larger Groups of Students Use AI More Effectively in Learning
Researchers at the Institute of Education and the Faculty of Economic Sciences at HSE University have studied what factors determine the success of student group projects when they are completed with the help of artificial intelligence (AI). Their findings suggest that, in addition to the knowledge level of the team members, the size of the group also plays a significant role—the larger it is, the more efficient the process becomes. The study was published in Innovations in Education and Teaching International.
New Models for Studying Diseases: From Petri Dishes to Organs-on-a-Chip
Biologists from HSE University, in collaboration with researchers from the Kulakov National Medical Research Centre for Obstetrics, Gynecology, and Perinatology, have used advanced microfluidic technologies to study preeclampsia—one of the most dangerous pregnancy complications, posing serious risks to the life and health of both mother and child. In a paper published in BioChip Journal, the researchers review modern cellular models—including advanced placenta-on-a-chip technologies—that offer deeper insights into the mechanisms of the disorder and support the development of effective treatments.
New Method for Describing Graphene Simplifies Analysis of Nanomaterials
An international team, including scientists from HSE University, has proposed a new mathematical method to analyse the structure of graphene. The scientists demonstrated that the characteristics of a graphene lattice can be represented using a three-step random walk model of a particle. This approach allows the lattice to be described more quickly and without cumbersome calculations. The study has been published in Journal of Physics A: Mathematical and Theoretical.
Scientists Have Modelled Supercapacitor Operation at Molecular and Ionic Level
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).
Designing an Accurate Reading Skills Test: Why Parallel Texts are Important in Dyslexia Diagnosis
Researchers from the HSE Centre for Language and Brain have developed a tool for accurately assessing reading skills in adults with reading impairments. It can be used, for instance, before and after sessions with a language therapist. The tool includes two texts that differ in content but are equal in complexity: participants were observed to read them at the same speed, make a similar number of errors, and understand the content to the same degree. Such parallel texts will enable more accurate diagnosis of dyslexia and better monitoring of the effectiveness of interventions aimed at addressing it. The paper has been published in Educational Studies.
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Intellectual Capital in the Face of Shocks: Russia and Iran Explore Internationalisation
In today's issue of Schola, Mariya Molodchik, Senior Research Fellow at the International Laboratory of Intangible-Driven Economy and Professor at the School of Economics and Finance at HSE University’s Campus in Perm, discusses a joint project with Iran University of Science and Technology, titled 'Internationalization of Companies from Developing Countries: The Role of Intellectual Resources in Response to Exogenous Shocks.'
HSE Researchers Introduce Novel Symmetry-Aware Neural Network Architecture
Researchers at the HSE Laboratory for Geometric Algebra and Applications have developed a new neural network architecture that can accelerate and streamline data analysis in physics, biology, and engineering. The scientists presented their solution on July 16 in Vancouver at ICML 2025, one of the world's leading conferences on machine learning. Both the paper and the source code are publicly available.
Students from HSE and Other Universities Carry Out Research Expedition at New Chersonesos
As part of the Rediscovering Russia student expedition programme, HSE University organised a research trip under the framework of the School for Young Humanities Scholars to the New Chersonesos museum and church complex in Sevastopol. The results of this expedition will form the basis for proposals on educational projects aimed at shaping young people’s historical memory of the role of Chersonesos, Crimea, and the Byzantine legacy in the history of Russian culture and statehood.