New functional nanomaterials for use in catalytic processes and technologies for energy storage and conversion

Rational design of Pd-catalysts for C-H activation and Ru-catalysts for C=O hydrogenation: from operando X-ray absorption spectroscopy identification of metal complexes to multi-technique machine learning-based characterization

Development of machine learning algorithms and big data analysis in the field of X-ray absorption spectroscopy

Structure and Properties of Catalytically Active Palladium Centers in Zeolites and Metal-Organic Frameworks: Ab Initio Calculations and Experimental Studies at Megascale Research Facilities

Investigation of direct methane-methanol conversion mechanism over the Cu sites in Cu-exchanged zeolites

Development of methods for intellectual decision-making based on mathematical modeling of critical computing infrastructures and information security processes

Interactive decision making in multi-agent intelligent systems with the use of dynamic description logic

Synchrotron Radiation Characterization and Theoretical Modeling on Advanced Energy Materials

Universal nanocomposites for X-ray photodynamic therapy of superficial and deep-seated tumors

Laboratory operando investigation of novel 3d metals complexes with valence tautomerism

Laboratory operando technique of metal nanoparticles diagnostics based on the infrared spectroscopy of adsorbed molecules

In situ study of nanoporous materials by X-ray absorption and vibrational spectroscopies

X-ray spectroscopy study of hydrocarbon adsorption dynamics on transition metal catalysts by innovative algorithms for data analysis based on artificial intelligence

Multispectral characterization of the multicomponent systems using machine learning algorithms

Hybrid nanocomposite materials based on metal-organic coordination polymers and iron oxide nanoparticles for targeted drug delivery

New approach for designing cathode materials for Li-ion batteries

Nanocomposites for X-ray photodynamic therapy of deep tumors in oncology