Research

Fundamental research on electron/ion-gas-solid interactions, in particular the generation, multiplication and high-efficiency detection of secondary, backscattered and transmitted electrons under conditions of controlled positive ion concentration and flow, will be studied using numerical simulations.

The project aims to increase radiation safety and preparedness during routine and emergency nuclear fuel inspections. The project is therefore focused on developing a compact laser system for remote detection of surface defects in fuel rods under high radiation conditions.

The aim of the project is to confirm the possibility of quantifying microcapillary blood flow heterogeneity using magnetic resonance imaging at various sites in human brain tumors.

ecent studies have revealed promising cold field emission (CFE) behavior in composite metal insulator, metal-graphite, and insulator-graphite electron sources, particularly when coatings include aliphatic or aromatic organic rings, such as graphene or benzene. These molecular configurations significantly influence the emitted electron beam, resulting in performance distinct from that observed in previous studies.

The aim of the present project is the development and design of new neutron proportional detectors using modern technologies and software tools. Two types of detectors will be developed, a pressure detector with constant pressure and a flow detector with adjustable gas pressure in the detector. The development will focus on the use of electron and laser welding and machining techniques, vacuum brazing and others that will allow us to realize detectors of the required quality.

The main aim of the project is to develop a functional prototype of a portable Laser Induced Breakdown Spectroscope (LIBS) for analysis of biological samples. This will enable a rapid, precise and safe analysis of elements, without any need for sample extraction and their transport to a laboratory. Currently, there are devices designed (optimized) for metallurgical and geological samples, but not for biological ones. New methods of measurement and algorithms for the analysis (classification) of spectra need to be developed.

The project aims to develop AI BBECG technology (BroadBand ECG). BBECG exploits the different attenuation properties of ECG at various frequencies and thus allows precise spatial localization of the sources of electrical activation of the heart chambers. Because BBECG provides new information, it is an ideal basis for learning artificial intelligence (AI) models that exploit information sources in high-frequency components. Thus, AI BBECG models will bring new information value to cardiology.