Associate Professor of the Department of Physical and Colloidal Chemistry of RUDN Zurida Murga took part in the 50th International Conference on Catalysis and Surface Chemistry in Krakow
The Institute was founded in 1968, under the guidance of Professor Jerzy Haber and is part of the Krakow Scientific Community, the leading Polish research center in the field of chemistry.
Many researchers who took part in the conference, at the beginning of their scientific work were trained at the Haber Institute. Professor Jerzy Haber was known for his open position regarding the exchange of scientific knowledge - and the conference in Krakow at his institute, has been following the ideas of its founder for 50 years.
At the anniversary 50th conference Ogólnopolskie Kolokwium Katalityczne, such well-known scientists as Professor of the Catalysis Laboratory of the Dalian Institute of Chemical Physics of the Chinese Academy of Sciences Ken Lee, Professor Hans Freund of Fritz Gaber Institute of the Max Planck Scientific Society and his colleague Maurizio Prieto.
28 plenary lectures of leading chemists, 32 oral and over 100 poster reports on the theory of catalytic processes, electrochemical catalysis, physical chemistry of soft materials, interaction in dispersed systems, catalytic processes for environmental protection and other relevant topics of modern chemistry were delivered at the event.
A chemist from RUDN University together with colleagues created a new type of two-dimensional nanofilm from an organic material called calixarene. The invention can be used as a protective coating in electronics and as a part of molecular filters. They also suggested a way of increasing the durability of such films with UV radiation.
A biologist from RUDN University confirmed that selenium nanoparticles and garlic extract can effectively reduce the negative impact of stress on the health of grass carp in the breeding industry.
A team of mathematicians from RUDN University found a way to reduce the size of a trained neural network six times without spending additional resources on re-training it. The approach is based on finding a correlation between the weights of neural connections in the initial system and its simplified version.