Skoltech is an international graduate research-focused university that was founded by the group of world-renowned scientists in 2011. Skoltech's curriculum focuses on technology and innovation, offering Master's programs in 11 technological disciplines. Students receive rigorous theoretical and practical training, design their own research projects, participate in internships and gain entrepreneurial skills in English. The faculty is comprised of current researchers with international accreditation and achievements.

In January 2016, five Skoltech scientists won grants for their researches

The grantors were Russian Science Foundation, Russian Foundation for Basic Research and Civilian Research and Development Foundation.

Russian Science Foundation gave two grants to:

Igor Ostanin  (Research Scientist at Center for Computational and Data-Intensive Science and Engineering, professor – Ivan Oseledets)

His grant topic is multiscale mechanical modeling of carbon nanotube based materials using generalized discrete element method.

The developed model during previous work is applied to the analysis of various mesoscopic structures and materials – self-folded nanotube configurations, nanotube bundles and ropes, nanotube papers and films. So Igor would like to investigate more methods, applicable in the field of his interest.

Igor Ostanin has graduated from the Department of Physics and Engineering of Novosibirsk State Technical University in 2008. In 2009 he entered a graduate program of the Department of Civil Engineering, University of Minnesota. In 2010 he obtained his M.S., and in 2014 – Ph.D. degree.

________________________________

Maxim Rakhuba  (Junior researcher at Center for Computational and Data-Intensive Science and Engineering, professor – Ivan Oseledets)

Maxim was granted for the “Fast tensor approach to electronic structure calculation” topic.

There was a fully grid-based approach for solving Hartree-Fock and all-electron Kohn-Sham equations based on low-rank approximation of three-dimensional electron orbitals described in his previous work. Due to the low-rank structure the total complexity of the algorithm depends linearly with respect to the one dimensional grid size. The method was already tested on closed-shell atoms up to the argon, several molecules and clusters of hydrogen atoms. The results confirm the method’s efficiency. Now, Maxim would like to continue studying model’s abilities.

Maxim Rakhuba has graduated from Moscow Institute of Physics and Technology in 2012, and obtained there his M.S. degree in 2014. His research interests are related to the artificial neuronal networks and tensor calculus.

________________________________

There were two grants from Russian Foundation for Basic Research awarded to:

Mikhail Litsarev  (Research Scientist at Center for Computational and Data-Intensive Science and Engineering, professor – Ivan Oseledets)

Mikhail was granted for the topic: ”Fast algebraic methods for solving partial differential equations and computation of multidimensional integrals”. The current research is devoted to application of low-rank approximations to the multidimensional integration and finite-difference schemes. It appears that for certain classes of functions this technique allows to decrease the dimensionality/complexity of the problem down to (almost) linear cost in flops and memory, giving a perspective to design new, fast and efficient algorithms in scientific computing.

Mikhail has graduated from Moscow Engineering Physics Institute at 2006. He obtained his Ph.D degree at 2010 in P.N.Lebedev Physics Institute of Russian Academy of Science, the topic was:с”Electron structure and characteristics of atoms and ions in the multicofiguration Hartree-fock method.

________________________________

Alexander Mikhalev  (Research Engineer at Center for Computational and Data-Intensive Science and Engineering, professor – Ivan Oseledets)

Alexander is a PhD Student at CMC MSU and research engineer at Skoltech. He is the main developer of the package for the black-box approximation of large dense matrices by sampling. He is also an author of the new algorithm for the rectangular maximum-volume submatrices.

Alexander’s grant topic is about rectangular maximum volume submatrices. Those submatrices have high potential in different column/row sampling methods. Three promising applications of such submatrices are already presented in Alexander’s papers: recommender systems, finding maximal elements in low-rank matrices and preconditioning of overdetermined linear systems.

________________________________

The last, but not the least – the Civilian Research and Development Foundation awarded, Artem Abakumov.

Artem Abakumov (Professor at Center for Electrochemical Energy Storage)

Proffesor Abakumov was founded by Civilian Research and Development Foundation. His topic is “Making Safer Li-ion Batteries: Protective Coating of High Capacity Cathode Materials Using Heterometallic Single-Source Precursors”

Artem’s previous work is also about making more effective and safer Li-ion batteries. The main purpose is that a key element of the Li-ion batteries limiting its capacity is a material used for its cathode. For the majority of the materials their capacity limit has already been reached. Artem’s research group is one of those who are actively searching for new cathode materials capable of recharging completely within minutes, operate under high current densities, and store more energy.

Artem received his candidate of science degree from Moscow State University in 1997. Before assuming a position of Scientific Researcher at MSU in 1999, Artem spent two years in the Electron Microscopy for Materials Science (EMAT) laboratory, University of Antwerp, conducting his postdoctoral research. From 2004 to 2008 Artem was Deputy Chair of the Inorganic Chemistry Division of MSU Department of Chemistry. Before joining Skoltech, Artem worked at the EMAT laboratory for seven years as a research leader.

* The Skolkovo Institute of Science and Technology (Skoltech) is a private graduate research university in Skolkovo, Russia, a suburb of Moscow. Established in 2011 in collaboration with MIT, Skoltech educates global leaders in innovation, advances scientific knowledge, and fosters new technologies to address critical issues facing Russia and the world. Applying international research and educational models, the university integrates the best Russian scientific traditions with twenty-first century entrepreneurship and innovation.

 

Contact information:
Skoltech Communications
+7 (495) 280 14 81

Share on VK