NUST MISiS

Moscow, Russia

NUST MISiS

Moscow, Russia

Time filter

Source Type

Bajenova I.,Thermochemistry of Materials Scientific Research Center | Fartushna I.,Thermochemistry of Materials Scientific Research Center | Khvan A.,Thermochemistry of Materials Scientific Research Center | Cheverikin V.,Thermochemistry of Materials Scientific Research Center | And 2 more authors.
Journal of Alloys and Compounds | Year: 2017

Phase equilibria upon crystallization in the Al-Mn-C system were studied using DTA, X-ray diffraction, SEM and electron probe microanalysis. The liquidus and solidus projections and the melting diagram (liquidus + solidus) for this system were constructed covering the whole concentration range. The ternary compound Mn3AlC (κ) (antiperovskite structure CaTiO3-type, ≿Р5-Pm-3m) melts congruently at 1320 °C. The liquidus surface consists of the binary compounds, the ternary compound Mn3AlC (κ) and solid solutions primary crystallization fields. The carbide Mn5C2 in the ternary system participates in equilibrium with the liquid phase in contrary to the binary system where it is formed from the solid state equilibrium. The solidus surface of the Al-Mn-C system in the region up to 50 at.% Al is defined by the co-existence of the κ-carbide with almost all phases of the binary subsystems: (С), (γMn), (εAlMn), (Al4C3), (Mn7C3) and (Mn5C2). The solidus surface in the region >45 at.% Al is defined by the co-existence of the carbide Al4C3 with all phases from Al-rich region. The DTA curves of the alloys with compositions close to the homogeneity region of phase (εAlMn), exhibit (on heating) an exothermic effect at ∼570 °C. This exothermic effect corresponds to the formation of the ordered metastable τ-phase, which is formed by mechanism: ε → ε’ (B19) → τ. τ-phase (AuCu, tP2-P4/mmm, a = 2.760, c = 3.600 Å) and which was observed in the alloys after heating up to 700 °C and slow cooling (5 °C/min). © 2016 Elsevier B.V.


News Article | August 1, 2017
Site: www.prnewswire.com

NUST MISIS, one of Russia's leading technological universities, and Cognitive Technologies, a company which develops artificial intelligence systems for unmanned vehicles, will jointly organize VisionHack 2017. According to Alevtina Chernikova, Rector of NUST MISIS: "It is not a coincidence that Russia and NUST MISIS have become a venue for holding such high-level events-Russia has one of the world`s best schools for the development of artificial intelligence. Today, our domestic developments in the field of computer vision are highly rated by leading international experts, and the NUST MISIS team for several years in a row has reached the final of the ACM/ICPC international programming championship." A hackathon (an international forum of IT developers) like this, dedicated to computer vision technologies and unmanned vehicles, is the first of its kind in the entire world. More than 30 teams from world leading universities such as MIT (USA), the University of Cambridge (Great Britain), ASU (USA), Hong Kong University of Science and Technology (P.R. China), University Paris-Saclay (France), the University of Science and Technology Beijing (P.R. China), and UPC (Spain) have announced their participation in the hackathon. The total number of hackathon participants is about 150 people, and the prize fund exceeds $30,000, which is a record for such an event. Computer vision in application of practical tasks for the driving of unmanned vehicles, which is currently one of the most relevant and popular directions of artificial intelligence, has become the competition's main theme. The participants' aim will be to create their own intellectual subsystem for driver assistance and ADAS (advanced driver assistance system) capable of automatically detecting various events on the road (small circumstances, which sometimes seriously affect traffic safety) such as: a car stopped in the middle of the street with its hazard lights on; a dog or small child about to cross the street; the sun shining on a turn and blinding a driver, etc. Participants will be given a large array of data - several hundred 10-second videos, which will show different road situations and problems. "Participants will have to solve real and significant practical issues of computer vision for unmanned vehicles. We hope that the intelligent subsystems developed by participants will be included in the ADAS product lines, and will be able to significantly improve road safety, as well as to provide drivers with the necessary level of comfort. We are sure that the hackathon winners will be able to increase their value as specialist-professionals of the highest class, for whom doors to the world's leading AI development companies are open," said Olga Uskova, president of the Cognitive Technologies group. The winner of the hackathon will be the team which provides the most accurate and comprehensive solution to the set of proposed road situations. Additionally, the organizers will prepare secondary prizes for qualitative decisions on specific developments. VisionHack will be held in 2 rounds: the preliminary selection stage, from July 13th to 31st, where participants will be asked to solve test tasks. The best teams will be invited to participate in the on-site competition. Both individuals and teams (3-5 people) can register. The panel of judges will include world-famous specialists in the field of IT and artificial intelligence, business representatives, venture funds, and development institutions. An extensive educational program and meetings with prominent representatives of the IT field (especially in the field of unmanned vehicles) will be organized for the hackathon. Top managers of famous Russian and international companies will act as mentors and lecturers at the event. The top managers of large Russian enterprises such as Alfa Group, Severstal, VEB, Rosatom, Gazprombank, and representatives of the Russian Government will be invited to the event as honorary guests. World-renowned companies and developers of artificial intelligence, unmanned technologies, and hardware are among the event`s business partners. Please contact the organizers if you have any additional questions at visionhack@misis.ru The National University of Science and Technology MISIS is one of Russia's most dynamically developing centers for research and education. Being among the leaders of technology education in Russia, NUST MISIS is also a large research center. In 2015 NUST MISIS entered The Times Higher Education World University Rankings and strengthened its position in the QS World University Rankings. In 2016, NUST MISIS was the only Russian university to enter the Times Higher Education: World's Best Small Universities Ranking, and also continued to climb in the QS regional rankings. The strategic goal of NUST MISIS is to become a global leader in the fields of materials science, metallurgy, and mining, as well as to strengthen its position in the fields of biomaterials and nano- and IT technologies by 2020. The University comprises 9 institutes and 4 branches - three in Russia and one abroad. More than 15,000 students are being trained at NUST MISIS. 27 laboratories and 3 world-class engineering centers, where leading international scientists work, operate at NUST MISIS. The University successfully implements joint projects with both well-known Russian and international high-tech companies.


News Article | August 1, 2017
Site: www.prnewswire.co.uk

NUST MISIS, one of Russia's leading technological universities, and Cognitive Technologies, a company which develops artificial intelligence systems for unmanned vehicles, will jointly organize VisionHack 2017. According to Alevtina Chernikova, Rector of NUST MISIS: "It is not a coincidence that Russia and NUST MISIS have become a venue for holding such high-level events-Russia has one of the world`s best schools for the development of artificial intelligence. Today, our domestic developments in the field of computer vision are highly rated by leading international experts, and the NUST MISIS team for several years in a row has reached the final of the ACM/ICPC international programming championship." A hackathon (an international forum of IT developers) like this, dedicated to computer vision technologies and unmanned vehicles, is the first of its kind in the entire world. More than 30 teams from world leading universities such as MIT (USA), the University of Cambridge (Great Britain), ASU (USA), Hong Kong University of Science and Technology (P.R. China), University Paris-Saclay (France), the University of Science and Technology Beijing (P.R. China), and UPC (Spain) have announced their participation in the hackathon. The total number of hackathon participants is about 150 people, and the prize fund exceeds $30,000, which is a record for such an event. Computer vision in application of practical tasks for the driving of unmanned vehicles, which is currently one of the most relevant and popular directions of artificial intelligence, has become the competition's main theme. The participants' aim will be to create their own intellectual subsystem for driver assistance and ADAS (advanced driver assistance system) capable of automatically detecting various events on the road (small circumstances, which sometimes seriously affect traffic safety) such as: a car stopped in the middle of the street with its hazard lights on; a dog or small child about to cross the street; the sun shining on a turn and blinding a driver, etc. Participants will be given a large array of data - several hundred 10-second videos, which will show different road situations and problems. "Participants will have to solve real and significant practical issues of computer vision for unmanned vehicles. We hope that the intelligent subsystems developed by participants will be included in the ADAS product lines, and will be able to significantly improve road safety, as well as to provide drivers with the necessary level of comfort. We are sure that the hackathon winners will be able to increase their value as specialist-professionals of the highest class, for whom doors to the world's leading AI development companies are open," said Olga Uskova, president of the Cognitive Technologies group. The winner of the hackathon will be the team which provides the most accurate and comprehensive solution to the set of proposed road situations. Additionally, the organizers will prepare secondary prizes for qualitative decisions on specific developments. VisionHack will be held in 2 rounds: the preliminary selection stage, from July 13th to 31st, where participants will be asked to solve test tasks. The best teams will be invited to participate in the on-site competition. Both individuals and teams (3-5 people) can register. The panel of judges will include world-famous specialists in the field of IT and artificial intelligence, business representatives, venture funds, and development institutions. An extensive educational program and meetings with prominent representatives of the IT field (especially in the field of unmanned vehicles) will be organized for the hackathon. Top managers of famous Russian and international companies will act as mentors and lecturers at the event. The top managers of large Russian enterprises such as Alfa Group, Severstal, VEB, Rosatom, Gazprombank, and representatives of the Russian Government will be invited to the event as honorary guests. World-renowned companies and developers of artificial intelligence, unmanned technologies, and hardware are among the event`s business partners. Please contact the organizers if you have any additional questions at visionhack@misis.ru The National University of Science and Technology MISIS is one of Russia's most dynamically developing centers for research and education. Being among the leaders of technology education in Russia, NUST MISIS is also a large research center. In 2015 NUST MISIS entered The Times Higher Education World University Rankings and strengthened its position in the QS World University Rankings. In 2016, NUST MISIS was the only Russian university to enter the Times Higher Education: World's Best Small Universities Ranking, and also continued to climb in the QS regional rankings. The strategic goal of NUST MISIS is to become a global leader in the fields of materials science, metallurgy, and mining, as well as to strengthen its position in the fields of biomaterials and nano- and IT technologies by 2020. The University comprises 9 institutes and 4 branches - three in Russia and one abroad. More than 15,000 students are being trained at NUST MISIS. 27 laboratories and 3 world-class engineering centers, where leading international scientists work, operate at NUST MISIS. The University successfully implements joint projects with both well-known Russian and international high-tech companies.


Rodin A.,NUST MISiS | Prokoshkina D.,University of Munster | Itckovitch A.,NUST MISiS | Dolgopolov N.,NUST MISiS
Defect and Diffusion Forum | Year: 2015

It is generally agreed that during diffusion process between two phases e.g. matrix/diffusant layer the thermodynamic equilibrium state is fulfilled and the supersaturated solid solutions can not formed by diffusion. Nevertheless, in many cases the formation of equilibrium phases does not occur due to kinetic and other reasons, and metastable phases can be formed. The analysis of the concentration profiles for bulk diffusion obtained at low temperatures consistent with B-regime for grain boundary diffusion in systems Cu/Al, Fe and Co/Cu is performed. It is shown that in these systems the supersaturated solutions are formed and the extent of supersaturation is the more as the diffusion temperature is lower. The concentration of diffusant may be 5-10-times greater than solubility according to phase diagram. © (2015) Trans Tech Publications, Switzerland.


Rodin A.,NUST MISiS | Khairullin A.,NUST MISiS
Defect and Diffusion Forum | Year: 2015

The influence of Co as an alloying element on grain boundary diffusion (GBD) in Cu attracts particular interest due to anomalous GBD of Co in Cu. Ni as a neutral to Co and Cu element was chosen for GBD study. The triple products of Ni GBD in Cu and Cu-Co alloys (with concentration up to 2.9 wt. %) were determined in temperature range 500-700°C by X-ray microprobe analysis. It was shown, that in spite of some scattering the triple product does not depend on Co concentration at all temperatures of experiments. From the obtained results it follows that Co does not change the GB structure. © (2015) Trans Tech Publications, Switzerland.


Pavlov Y.S.,Russian Academy of Sciences | Lagov P.B.,NUST MISIS
Proceedings of the European Conference on Radiation and its Effects on Components and Systems, RADECS | Year: 2015

Electron accelerator equipped with injection system and magnetic buncher to generate picoseconds pulsed beams (50 ps, 150 A, 10 MeV) prospective for radiation hardness investigation and pulsed detectors characterization is represented. © 2015 IEEE.


Shekhirev D.V.,National University of Science and Technology "MISIS" | Smaylova A.B.,NUST MISiS | Dumov A.M.,NUST MISiS
Obogashchenie Rud | Year: 2016

Difficultly-treated ores form the basis of the Russian nonferrous and precious metals mineral resources base. In particular, many of the promising lead-zinc deposits are represented by high-sulfur finely-disseminated difficultly-treated ores. Development of technologies for difficultlytreated ores processing is one of the priority tasks for the short-term exploratory research works. In most cases rebellious ores are distinguished not only by fine dissemination, but also by closeness of separated minerals flotation properties. The only way to process this type of ores is to apply combination technologies, separating part of metals into a rebellious bulk product to be subsequently treated at hydrometallurgical process stage. Owing to complexity of combination technologies, a necessity of their application must be based on ore dressability analysis in relation to its material composition. By way of example in this work, a processing method is proposed for difficultly-treated lead-zinc ore and its dressability is determined by means of apparatus quantitative mineralogical analysis. An individual calculation algorithm was developed for maximum dressability curves with respect of consecutive separation of two concentrates, complying with certain requirements to composition of mineral particles separated into concentrates. With regard to the studied rebellious ore in question, it is shown that the achieved liberation of the minerals theoretically provides for satisfactory metallurgical results that are significantly higher than the experimentally achieved indices. A new method of calculation is proposed for determination of two types of recovery parameters for minerals, associated with different sorts of particles, differing in size and presence of intergrowths. Higher recoveries of pyrite and sphalerite into rougher lead concentrate and pyrite into rougher zinc concentrate are demonstrated for 10 to 90 microns size fraction as liberated particles, if compared with intergrowths and particles smaller than 10 microns. Exactly these flotoactive forms of pyrite and sphalerite lead to formation of rebellious lead-zinc product to be subjected to hydrometallurgical process stage.


Ershov ..,Vnii Np | Grigoreva E.V.,Vnii Np | Habibullin I.F.,Vnii Np | Emelyanov V.E.,Vnii Np | Strekalina D.M.,NUST MISIS
Renewable and Sustainable Energy Reviews | Year: 2016

In world practice bioethanol is widely used as a component for standard motor gasolines, with concentration 5–15% by volume (E5, E10, E15 fuels) or as bioethanol fuels with ethanol content from 20% till 85% by volume (E20-E85 fuels). Currently in Russia the motor biofuel and its components are not used. At the same time, the development of biotechnologies and bioenergy is the priority task of the scientific and technical policy of the State. The complex program sets the goal to increase the consumption volume of motor biofuel up to 10% till 2020. It should be achieved primarily by bioethanol production, which will be used as a component of automotive gasolines or for production of bioethanol fuels. Bioethanol in Russia can be used in essentially different ways: 1) as a high-octane component in concentration not higher than by 5% by volume for the production of motor gasoline 2) as a high-octane component in concentration not higher than 10% by volume for benzanol (gasohol) production 3) for ethyl tertiary butyl ether (ETBE) production 4) as a component of bioethanol fuels in concentration up to 85% by volume. The final aspect is especially topical for production of high quality high-octane fuel from low-octane hydrocarbon fractions, as well as maximum utilization of bioethanol octane-increasing potential. Currently VNII NP JSC is conducting research work aimed to develop production technology of E30 and E85 bioethanol fuels. This technology will enable the essential expansion of the potential of bioethanol application and the efficient resolution of usage of low-octane fractions due to production of high-octane fuel with improved ecological characteristics with a minimum possible cost. This article presents the developed technical requirements for bioethanol fuels E30, E85. © 2016 Elsevier Ltd


Pozdniakov A.V.,NUST MISiS | Zolotorevskiy V.S.,NUST MISiS | Barkov R.Y.,NUST MISiS | Lotfy A.,NUST MISiS | Bazlov A.I.,NUST MISiS
Journal of Alloys and Compounds | Year: 2016

The composites of 6063 + 5%B4C and 1545 K + 5%B4C were successfully produced by two stir casting techniques. The first involved incorporation of reinforcements particles in pure form. Stir casting technique was novel, in which the particles incorporated to the melt using by powder master alloy. The incorporation of B4C particles in pure form is more effective than using a powder master alloy. A good interface reaction between the matrix and the B4C reinforcements was observed by the formation of Al3BC and AlB2 phases on the matrix/B4C interface. 1545 K + 5%B4C alloy showed YS = 425 MPa and UTS = 455 MPa and, also high resistance to intercrystalline corrosion. © 2016 Elsevier B.V.


PubMed | NUST MISiS, Russian Academy of Sciences, RITVERC GmbH and JSC Optocoupler 105187
Type: | Journal: Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine | Year: 2016

In the paper a manufacturing process of three-dimensional (3D) microchannel structure by silicon (Si) anodic etching was discussed. The possibility of microchannels formation allows to increase the active area more than 100 times. In this structure the p-n junction on the whole Si surface was formed. The obtained data allowed to evaluate the characteristics of the betavoltaic converter with a 3D structure by using isotope 63Ni with a specific activity of 10Ci/g.

Loading NUST MISiS collaborators
Loading NUST MISiS collaborators