January 21, 2022, 3:00 PM. X-Ray diagnostics of functional materials in operando regime
Speaker: Alexander Guda ( 501 )

December 28, 2021, 3:00 PM. Dynamics of the atomic and electronic structure of palladium-based catalysts under realistic industrial conditions
Speaker: Aram Bugaev ( 501 )

December 27, 2021, 3:00 PM. Determination of the Pd nanoparticles structural parameters by X-ray absorption spectroscopy
Speaker: Oleg Usoltsev ( 501 )

December 7, 2021, 11:30 AM. Porous calcium carbonate particles - structural aspects and prospects in drug delivery
Speaker: Trushina Daria ( Zoom )

December 7, 2021, 11:00 AM. Potential application of metal-organic frameworks in the different remediation technologies
Speaker: Mazarji Mahmoud ( Zoom )

December 7, 2021, 10:30 AM. Exploring radioactive materials through the high energy synchrotron methods
Speaker: Kristina Kvasnina ( Zoom )

December 7, 2021, 10:00 AM. Porous Microcarriers as a Novel Platforms for Encapsulation, Storage, And Controlled Release of Reactive Oxygen Species
Speaker: Ermakov Alexey ( Zoom )

December 6, 2021, 2:00 PM. The contribution of synchrotron research to the development of oil refining and petrochemical industry processes
Speaker: Maximov Anton ( Zoom )

December 6, 2021, 12:10 PM. Machine learning for vibrational spectroscopies: How to build a theoretical training set
Speaker: Aram Bugaev ( Zoom )

December 6, 2021, 10:30 AM. In situ spectroscopies for determination of active sites in zeolites
Speaker: Bordiga Silvia ( Zoom )

November 23, 2021, 4:00 PM. Machine learning application for XANES analysis of Pd nanocatalysts
Speaker: Oleg Usoltsev ( Zoom )

November 15, 2021, 4:00 PM. High-pressure operando investigation of Pd-MOFs for CO2 hydrogenation
Speaker: Alina Skorynina ( Zoom )

November 8, 2021, 4:00 PM. In situ FTIR as instrument for characterization of palladium hydride phase
Speaker: Procenko Bogdan ( Zoom )

October 22, 2021, 4:00 PM. Machine learning in material science
Speaker: Alexander Guda ( 511 )

October 8, 2021, 2:30 PM. Machine learning in material science. Introduction
Speaker: Sergey Guda ( MS Teams )

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