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

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