Search by tag «Publication» 192 results
ITMO Researchers' New Composite Material Offers 10,000x Amplification of Raman Spectroscopy Signal
A composite material based on polymer miscospheres covered in gold nanoparticles has been developed at ITMO University. It amplifies Raman spectroscopy signals by over 10,000 times and can be used to control the quality of engine oils and pharmaceuticals, as well as to detect hazardous contaminants during environmental monitoring. The results of the Russian Science Foundation-supported study were described in Journal of Materials Chemistry C.
28.07.2025
ITMO Physicists' New Anti-Forgery Tags Can Hide in Plain Sight
Researchers from ITMO’s School of Physics and Engineering have developed optical labels made with gold and silicon. The nanostructures’ asymmetric shape determines their optical response to a specific direction of light: the tags become visible and change color from yellow to green only at a certain angle (57-75 degrees) of lateral lighting, while no effect is observed at other angles. This solution will find its applications in the authentication of optical chips, sensors, and other microelectronics. The corresponding paper was published in ACS Applied Optical Materials.
25.07.2025
Newest From ITMO: Software To Facilitate Regenerative Medicine Materials Development
ITMO scientists have come up with software that helps automatically analyze cell structure in a substance’s image: it detects the borders of each cell and its nucleus in the image and then identifies the patterns in its shape, area, location, and other features. The resulting data can be used to quickly and more efficiently model materials for regenerative medicine, such as implants and healing band-aids. The results of the study have been published in Advanced Intelligent Discovery.
26.06.2025
ITMO Scientists' New Screening Platform Predicts Antibiotic-Nanoparticle Combinations
Researchers from ITMO University have developed the world’s first screening platform that predicts the efficiency of nanoparticle-antibiotic combinations for use against antibiotic-resistant bacteria. The algorithm decreases the time spent looking for new effective compounds from several months to mere days, and is expected to help create new medications against bacteria that are dangerous for humans and resistant to antibiotics. The results of the research were published in ACS Applied Materials & Interfaces; the study was supported with grant No. 2019-1075 from the Russian Ministry of Science and Higher Education.
03.06.2025
ITMO Physicists Describe New Superfast Quantum Processes in Radiation
Researchers at ITMO University have suggested a model for the visualization of superfast dynamic processes in light-radiating particles – and used it to predict new quantum phenomena. In contrast to the new model, existing methods can only be used to describe static processes, which significantly limits research options and presents a simplified view of the studied phenomena. Using the newly developed model, it will be possible to learn more about the nature of atoms, increase the efficiency of particle accelerator experiments, and create more accurate devices for the space industry and biomedicine. The related study was published in Communications Physics.
27.05.2025
ITMO Researchers Succeed in Accelerating Development of Autoimmune Disease Treatments
Researchers at ITMO have created an algorithm that will facilitate the development of medicines for autoimmune diseases. The developers used machine learning to search for inhibitors of spleen tyrosine kinase (Syk) – a protein that plays a key role in the development of immune thrombocytopenia. Using the new method, the team has identified over a hundred candidate molecules that could be used in treatments. The resulting paper was published in Journal of Cheminformatics.
21.05.2025
Russian Scientists’ Solution Promises to Improve Logistics in Big Cities
Researchers from Sberbank’s Artificial Intelligence Lab and ITMO University have found a way to improve logistics in major cities. Their discovery may help improve the efficiency of cargo traffic, delivery and taxi services, and public transport. The resulting paper, Assessing the complexity of a path search optimization method based on clustering for a transport graph, was published in the Q1 journal EPJ Data Science.
15.05.2025
ITMO Researchers Suggest Quick and Effective Protein Immobilization Method for Cancer Treatment Testing
A quick and effective way to immobilize proteins associated with tumor growth has been suggested at ITMO. The team behind it has found a way to reproduce the conditions found within living cells, but on the surface of microbalance sensors, allowing researchers to observe interactions between proteins and other biological molecules in real time. This way, it will be possible to uncover more about the nature of these proteins and reduce the time and resources needed to develop cancer treatments. The resulting paper was published in Langmuir.
11.04.2025
Ultrathin 2D Crystals for Data Recording and Storage Synthesized at ITMO
А new class of metal-organic frameworks (MOFs) that turn from 3D to 2D structures on their own has been discovered at ITMO. These can be used in memristors and ReRAM – technologies used for the recording and storage of data. Such crystals are created with solution chemistry methods without the need for expensive lithography, which significantly reduces their price. At the same time they are thin (starting from 4 nanometers), while their improved electronic properties make them an efficient component in memory devices and AI platforms. The results of this Russian Science Foundation- and Priority 2030-supported project were published in Advanced Science.
26.03.2025
ITMO Researchers Discover New Type of Singularity – Exceptional Bound States in the Continuum
A team of scientists from Russia, China, Austria, and the UK have found a new, previously considered impossible type of singularity, namely exceptional bound states in the continuum. The finding opens the door to producing energy-efficient optical transistors, modulators, and switches, as well as next-gen ultrasensitive sensors that can detect viruses and proteins more effectively. The results of the study were published in Physical Review Letters.
20.03.2025