HSE Tikhonov Moscow Institute of Electronics and Mathematics

Tag "publications"

Chemists Suggest Using Polymeric Ionic Liquids in Supercapacitors

Chemists Suggest Using Polymeric Ionic Liquids in Supercapacitors
A team of researchers from HSE MIEM joined colleagues from the Institute of Non-Classical Chemistry in Leipzig to develop a theoretical model of a polymeric ionic liquid on a charged conductive electrode. They used approaches from polymer physics and theoretical electrochemistry to demonstrate the difference in the behaviour of electrical differential capacitance of polymeric and ordinary ionic liquids for the first time. The results of the study were published in Physical Chemistry Chemical Physics.

Researchers Propose Method to Increase Charge of Supercapacitors

Researchers Propose Method to Increase Charge of Supercapacitors
Researchers from HSE MIEM and the Institute of Non-Classical Chemistry in Leipzig have proposed a new theoretical model of supercapacitors that takes into account the properties of a cation, which considerably impacts the electric differential capacitance of supercapacitors. This is the first publication of its kind in electrochemistry. The authors believe that the model will allow engineers to create more powerful energy sources in the future. The results of the study were published in The Journal of Physical Chemistry C. The study was completed with support from a grant by RSF.

HSE University Creates the Viral Genealogy Simulator to Model the Spread of COVID-19

HSE University Creates the Viral Genealogy Simulator to Model the Spread of COVID-19
Researchers of HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM), in cooperation with their colleagues from the University of California, Santa Cruz (UCSC), and The European Bioinformatics Institute (EMBL-EBI), have developed software to model the spread of the COVID-19 global pandemic. This is the world’s fastest Viral Genealogy Simulator (VGsim). For more details about this scalable simulator, read the reprint on medRxiv. The code is freely available at GitHub.
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