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.
Superconductivity is a state in which electric current flows through a material without resistance, losing no energy as heat. In ordinary conductors, electrons move independently and lose energy through collisions with atoms and impurities. In superconductors, however, electrons form Cooper pairs and move in unison, enabling current to flow without loss. Thanks to this property, superconductors are used to create powerful magnets, medical MRI scanners, and particle accelerators, and they also hold promise for developing new types of computing devices.
The challenge is that superconductivity usually occurs only at very low temperatures and is easily disrupted by impurities and defects in the material. These defects fragment superconductivity into isolated regions that fail to connect. Paradoxically, however, such disordered areas can also support the formation of Cooper pairs at higher temperatures. This creates a contradiction: structural disorder can locally enhance superconductivity, yet at the same time prevents it from spreading throughout the entire sample.
A team of researchers from HSE University, the Moscow Centre for Advanced Studies, and the Federal University of Pernambuco has shown that this challenge can be addressed by combining defective ('dirty') and clean subsystems. The team studied a two-band model in which one subsystem is highly disordered: superconductivity emerges there at higher temperatures, but only in isolated regions. The other subsystem remains clean, where superconductivity is weaker but provides connectivity. When the two are combined, a component arises that acts as a 'quantum glue,' linking the isolated islands and enabling current to flow through the entire sample at elevated temperatures.
Alexei Vagov
'Our calculations show that when defective and clean regions are properly connected, the material exhibits both a higher superconducting transition temperature and the ability to carry current without resistance. While disorder usually destroys this effect, we observed the opposite: defects can serve as a resource for creating more stable superconductors that operate at higher temperatures,' explains Alexey Vagov, Professor at HSE MIEM and co-author of the study.
Calculations confirm that this approach is effective for various types of disorder, ranging from random impurities to specially engineered superlattices. It is particularly promising for multilayer materials, where clean and disordered layers can be alternated; for compounds based on magnesium and boron (MgB₂), in which one electronic band enhances local superconductivity while the other facilitates current flow; and for materials with flat electronic bands, where electron pairing occurs more readily. Graphene- and graphite-based systems are also considered promising, as regular superstructures can form that alter electronic properties and promote stronger superconductivity. In the future, this could enable the development of materials in which defects and impurities do not hinder, but rather enhance, superconductivity.
The study was conducted with support from the Russian Science Foundation (Project 075-15-2025-010) and the HSE Basic Research Programme, using the university's HPC cluster.
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HSE MIEM and MTS Launch Workshop on Innovative Solutions in Communication Networks
The HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM) and MTS are launching a joint workshop in which students will work at the intersection of communications network engineering, data analysis, and digital technologies. The project is designed as a practice-oriented learning format, enabling students to tackle real industry challenges alongside company engineers and MIEM specialists. Registration to participate in the workshop is open until April 15, 2026.
HSE Scientists Uncover Mechanism Behind Placental Lipid Metabolism Disorders in Preeclampsia
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HSE Experts Reveal Low Accuracy of Technology Forecasts in Transportation
HSE researchers evaluated the accuracy of technology forecasts in the transportation sector over the past 50 years and found that the average accuracy rate does not exceed 25%, with the lowest accuracy observed in aviation and rail transport. According to the scientists, this is due to limitations of the forecasting method and the inherent complexities of the sector. The study findings have been published in Technological Forecasting and Social Change.
Wearable Device Data and Saliva Biomarkers Help Assess Stress Resilience
A team of scientists, including researchers from HSE University, has proposed a method for assessing stress resilience using physiological markers derived from wearable devices and saliva samples. The participants who adapted better to stress showed higher heart rate variability, higher zinc concentrations in saliva, and lower potassium levels. The findings were published in the Journal of Molecular Neuroscience.
HSE Unveils Anthropomorphic Courier Robot
From April 1 to 3, 2026, the Fourth Robotics Festival took place, with the HSE Faculty of Computer Science acting as the main organiser. The event featured the presentation of the anthropomorphic courier robot Arkus. The humanoid was introduced by the Institute for Robotic Systems, established jointly by HSE University and the EFKO Group of Companies.
When Circumstances Are Stronger Than Habits: How Financial Stress Affects Smoking Cessation
HSE researchers have found that the likelihood of quitting smoking rises with increasing financial struggles. While low levels of financial difficulties do not affect smoking behaviour, moderate financial stress can increase the probability of quitting by 13% to 21%. Responses to high financial stress differ by gender: men are almost 1.5 times more likely to give up cigarettes than under normal conditions, whereas no significant effect is observed on women’s decisions to quit smoking. These conclusions are based on data from the Russia Longitudinal Monitoring Survey (RLMS-HSE) for 2000–2023 and have been published in Monitoring of Public Opinion: Economic and Social Changes.
HSE Researchers Propose New Method of Verbal Fluency Analysis for Early Detection of Cognitive Impairment
Researchers from the HSE Center for Language and Brain and the Mental Health Research Centre have proposed a new method of linguistic analysis that enables the distinction between normal and pathological ageing. Using this approach, they showed that patterns in patients’ word choices during verbal fluency tests allow clinicians to more accurately differentiate clinically significant impairments from subjective memory complaints. Incorporating this type of analysis into clinical practice could improve the accuracy of early dementia diagnosis. The results have been published in Applied Neuropsychology: Adult.
How the Brain Processes a Word: HSE Researchers Compare Reading Routes in Adults and Children
Researchers from the HSE Center for Language and Brain used magnetoencephalography to study how the brains of adults and children respond to words during reading. They showed that in children the brain takes longer to process words that are frequently used in everyday speech, while rare words and pseudowords are processed in the same way—slowly and in parts. With age, the system is reorganised: high-frequency words shift to a fast route, whereas new letter combinations are still analysed slowly. The study was published in the journal Psychophysiology.
How Neural Networks Detect and Interpret Wordplay: New Insights from HSE Researchers
An international team including researchers from the HSE Faculty of Computer Science has presented KoWit-24, an annotated dataset of 2,700 Russian-language Kommersant news headlines containing wordplay. The dataset enables an assessment of how artificial intelligence detects and interprets wordplay. Experiments with five large language models show that even advanced systems still make mistakes, and that interpreting wordplay is more challenging for them than detecting it. The results were presented at the RANLP conference; the paper is available on Arxiv.org, and the dataset and the code for reproducing the experiments are available on GitHub.
HSE Economists Find That Auction Prices Depend on Artist’s Life Story
Researchers from the Centre for Big Data in Economics and Finance at the HSE Faculty of Economic Sciences have found that facts from an artist’s life are statistically significant in pricing a painting, alongside such traditional characteristics as the material, the size of the canvas, or the presence of the artist’s signature. This conclusion is based on an analysis of prices for 15,000 works by 158 artists sold since 1999 by the major auction houses Sotheby’s and Christie’s. The article has been published in the journal Empirical Studies of the Arts.