Driving by artificial intelligence automated laboratory at synchrotron radiation source for accelerated development of novel advanced materials and their on-the-fly characterization

Nanocatalysts for photostimulated green hydrogen production: molecular design and advanced characterization assisted by machine learning methods

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

Synchrotron Radiation Characterization and Theoretical Modeling on Advanced Energy Materials

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

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

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

Установление закономерностей колебательных спектров цеолитов с использованием квантово-химического моделирования и методов машинного обучения

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

Digital model of the experimental physical environment for diagnosing nanomaterials based on synchtron radiation for training deep reinforcement learning agents

Prioritet-2030

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