RUDN students meet their opponents from Pittsburg University, Vyshinsky University and University of Parana in court

RUDN students meet their opponents from Pittsburg University, Vyshinsky University and University of Parana in court

16 – 18 March, for the 11th time future lawyers met in Belgrade at the Belgrade Open International Commercial Arbitration Pre-Moot, where leading experts from Germany, France, Hong-Kong, Romania, Switzerland, Austria, USA and other countries assess students’ performances.

Valeria Bondar and Anna Parfentieva, arbitrators of the competition and participants of the joint project of the department of civil law, department of private law and department of foreign languages LAM Club noted excellent performance of RUDN students and their readiness  to Vis Moot in Austria 24-27 March.


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22 Jan
RUDN University chemists developed new magnetic and luminescent lanthanide-siloxane-based compounds

A team of chemists from RUDN University synthesized new organosilicon compounds containing terbium and europium ions. These complexes have an unusual cage-like crystal structure that contains four metal ions. The team was the first to study the magnetic and photophysical properties of such compounds and to observe their magnetic phase transition and luminescence properties.

20 Jan
An associate professor from RUDN University developed a computer model that describes all types of vehicle body damage caused by fatigue failure

Un profesor de RUDN University desarrolló un modelo computacional que describe completamente el daño que ocurre en la carrocería de automóviles por fatiga de materiales. El experimento computacional demostró que en carreteras irregulares, la velocidad baja provoca daños más graves en la carrocería que la velocidad promedio. Este descubrimiento ayudará a evaluar con mayor precisión la resistencia de los vehículos a las cargas.

18 Jan
RUDN University research team of mathematicians suggested a new decision making algorithm

A research team from RUDN University developed an algorithm to help large groups of people make optimal decisions in a short time. They confirmed the efficiency of their model using the example of the market at which the outbreak of COVID-19 began. The model helped the administration and sellers agree on closing the market and reach a consensus about the sums of compensations in just three steps.