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

Adhesive Tape Helps Create Innovative THz Photodetector

Adhesive Tape Helps Create Innovative THz Photodetector

© iStock

It is 10,000 times thinner than a sheet of paper and has been inspired by the discovery made by Nobel Prize winners Andre Geim and Konstantin Novoselov.

An international team of researchers, including scientists at HSE University and Moscow Pedagogical State University (MPGU), has developed a novel photodetector composed of a thin superconducting film, capable of detecting weak terahertz (THz) radiation. This discovery holds promise for studying objects in space, developing wireless broadband communication systems, and making advancements in spectroscopy. The study has been published in Nano Letters.

The study was conducted with support from the Russian Science Foundation (RSF), Projects No. 21-72-10117 and No. 23-72-00014.

Superconducting Hot-Electron Bolometers are a type of highly sensitive photodetectors capable of capturing low-intensity electromagnetic radiation in the terahertz range. These detectors find application in astronomy for studying space objects such as stars, galaxies, and cosmic microwave radiation. Additionally, they are sought after in security and medical diagnostic systems, as they facilitate the visualisation of concealed objects with resolutions reaching hundreds of micrometres. 

When the photosensitive element of such a detector absorbs electromagnetic radiation, it undergoes local heating, leading to the formation of thermalised electrons with kinetic energy surpassing the material's average electron energy. The emergence of overheated electrons causes a shift in the resistance of the photosensitive element, thereby generating an electrical signal that can be measured.

Current commercial superconducting bolometers employing overheated electrons are manufactured using films produced through magnetron sputtering techniques. This technology presently lacks the capability to produce materials thinner than a few nanometres, whereas the detector's performance is directly influenced by the deposition quality.

An international team of researchers, including scientists at MIEM HSE, have proposed using a thinner material and an alternative method for applying the detector’s photosensitive element. Taking inspiration from Nobel Prize winners Andre Geim and Konstantin Novoselov, who produced graphene by repeatedly cleaving graphite with adhesive tape, the study authors successfully obtained ultrathin films of niobium diselenide (NbSe2) by delaminating atomic layers from the material using polymer adhesive tape.

Igor Gayduchenko

Igor Gaiduchenko

Research Fellow, MIEM HSE

We worked as part of a large international collaboration consisting of specialists in photodetectors and experts in two-dimensional materials. We pooled our expertise to develop a sensitive and compact terahertz radiation detector with a thickness of just a few atomic layers of niobium diselenide, which is 10,000 times thinner than a standard sheet of office paper. Furthermore, this technology enables us to obtain materials with an optimal structure. It is easy to apply and does not require specialised equipment.

The authors also investigated the reaction of NbSe2 to THz radiation. They examined how the material heats up upon exposure to an electromagnetic wave and how the detector's properties vary depending on its environment—the substrate and electrodes—given that two-dimensional materials are sensitive to their surroundings. The scientists have also identified the mechanisms that constrain the sensitivity and speed of the detector.

The scientists emphasise that their pioneering work to develop a bolometric THz radiation detector demonstrates the potential for such a device to eventually surpass existing commercial solutions.

Kirill Shein

Kirill Shein

Doctoral student and Research Fellow, MIEM HSE

We have demonstrated that using the proposed technology makes it possible to manufacture a bolometric THz radiation detector with characteristics similar to those of existing commercial counterparts.

See also:

Scientists Train Neural Network to Generate Process Plans from 3D Models

Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

Biologists Discover 'Molecular Fingerprint' of Preeclampsia

Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.

‘Hedgehog’ Versus ‘Relatives’: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech

Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.

HSE Researchers Create New Corpus of Early Child Speech in Russian

Researchers at the HSE Centre for Language and Brain have presented RusLan-M, an open multimedia corpus that makes it possible to trace the development of early child speech in Russian from first words to the emergence of complex grammatical constructions. The database contains around 41 hours of video recordings and more than 35,000 child utterances. The new resource will help researchers study more precisely how children acquire Russian and, in the longer term, develop more reliable tools for assessing speech development. The study has been published in Language Resources and Evaluation.

Scientists Develop Algorithm for More Reliable Processors in Data Centres

Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.

Researchers Rank Recommendation Algorithms Using Sports Tournament Model

Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed an approach for selecting recommendation algorithms more effectively. Their approach uses pairwise comparisons of algorithms to create a tournament table, with the overall ranking based on their performance across all datasets in the tournament. This can reduce the number of algorithms that need to be tested when developing new services, saving both time and money. The study was presented at the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026).

Researchers Develop Method for Direct Generation of Regulatory DNA

Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’

Researchers at HSE University and Sber Train Neural Networks to Better Predict User Preferences

The HSE FCS AI and Digital Science Institute and Sber have introduced a new architecture for recommendation systems that combines two classes of models, enabling algorithms to better predict users’ interests and needs. A preprint of the paper has been published on arxiv.org and presented at Urban ML.

Physicists Discover What Happens Inside a Stable Vortex

Large vortices with characteristic spiral arms are often observed in the atmosphere and the ocean. Physicists from HSE University have explained how these structures form and why they retain their shape. The researchers found that velocities at points located along the same vortex arc remain correlated even over long distances. At the same time, this correlation weakens rapidly with increasing distance from the vortex centre. These differences help explain the formation of spiral arms and may improve models of atmospheric and oceanic currents. The findings have been published in Physical Review Fluids.

‘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.