Focus
Utilisation of advanced computational methods for the design, analysis, and optimisation of materials and technological processes based on experimental data.
Research and development activities
The Computational Modeling and Materials Simulation Group focuses on the utilisation of advanced computational methods for the design, analysis, and optimisation of materials and technological processes, always in close correlation with experimental data and measured material, structural, and process parameters. Computational models serve not only to predict material behaviour but also to interpret experimental results and support the targeted design of new solutions. A key activity is molecular modelling and material design, including the study of material properties, their mutual interactions, and behaviour under defined conditions. Furthermore, the group is dedicated to modelling structural and surface properties, such as porosity, defects, surface morphology, surface energy, reactivity, adsorption sites, and material interfaces. Another area of research involves simulating processes in battery systems and battery recycling, including ion transport, material degradation, separation processes, and the recovery of valuable raw materials. The group’s activities also encompass simulations of sorption and filtration processes, which support the development of efficient materials and technologies for purification, separation, and environmental applications.
Main techniques
BIOVIA Materials a Discovery Studio - Software for molecular and atomistic materials modelling. It enables the design and analysis of crystalline, amorphous, polymeric, and porous structures, the calculation of surface and bulk properties, the study of adsorption, diffusion, and molecular interactions, and the optimisation of material composition.
Ansys - A tool for multi-scale engineering simulations of physical processes. It enables the modelling of fluid flow, heat transfer, mechanical stress, and electrochemical and transport phenomena. It is suitable for simulations of battery systems, filtration, sorption, separation, and device-level technological processes.
MATLAB - An environment for numerical computing, experimental data processing, mathematical model development, and optimisation. It enables the evaluation of measured parameters, model calibration, statistical analysis, system behaviour prediction, and the integration of experimental data with simulation tools.
Research group leader
prof. Ing. Gražyna Simha Martynková, Ph.D.
email: