Condensed Matter Physics

Want to participate in developing a quantum computer or creating electrodes? Interested in quantum neural networks or nanosystems? Dream of a life in science and becoming a research physicist? Then this educational track is for you!

Developed in collaboration with the Institute of Solid State Physics of the Russian Academy of Sciences and the Scientific Research Institute of Railway Transport. From the first year, you’ll dive into scientific research and development, with internships at the Academy of Sciences and Roscosmos enterprises. It’s sure to be challenging, but the competencies you gain will make you a unique specialist!

Duration of the program: 4 years. Full-time education in Russian.

Apply now

Learn more

Apply now

Learn more

Department representative

Alexey Igorevich Salimon

Ph.D. in Physics and Mathematics, head of the Department of Physical Chemistry, Deputy Head of the Laboratory of Accelerated Particles

+7 495 236-87-38
a.salimon@misis.ru

Направление подготовки:

Код 03.03.02

Physics

Институт:

О треке «Condensed Matter Physics»

What subjects will I study?

  • Diffusion and diffusion‑controlled processes
  • Quantum mechanics
  • Crystallography
  • Mathematical analysis
  • Methods of mathematical physics
  • Programming
  • Statistical physics
  • Statistical calculations of equilibria
  • Probability theory and mathematical statistics
  • Condensed matter physics
  • Surface physics

Кем я буду работать?

  • Engineer‑physicist
  • Nanotechnologist
  • Designer of nanotechnological materials
  • Smart materials designer
  • Intelligent systems management architect
  • R&D manager in tech companies and startups
  • Research fellow
  • Engineer‑technologist

Teachers

Boris Samuilovich Bokstein

Doctor of Sciences in Physics and Mathematics, Professor of the Department of Physical Chemistry, Honored Scientist of Russia, Honored Worker of Higher Education of Russia, Honored Metallurgist of Russia

Research interests: diffusion and diffusion-controlled processes.

+7 495 638-44-66
bokst@misis.ru

Sergey Dmitrievich Kaloshkin

Doctor of Sciences in Physics and Mathematics, Professor, Head of the College of New Materials, Head of the Center of Compositional Materials

Research interests: Amorphous and nanocrystalline alloys. Mechanical activation, mechanochemical synthesis of materials. Composite materials. Microcalorimetry.

+7 495 638-44-22
kaloshkin@misis.ru

Natalia Efimovna Kaputkina

Doctor of Sciences in Physics and Mathematics, Professor of the Department of Physical Chemistry

Research interests: quantum dots, quantum wells, electromagnetic field effects, quantum neural networks, quantum dot thermodynamics.

+7 495 638-46-67
kaputkina.ne@misis.ru

Sergey Nikolayevich Zhevnenko

Doctor of Sciences in Physics and Mathematics, Professor of the Department of Physical Chemistry

Scientific interests: processes on interfaces, phase transitions, measurements of the rate of diffusion creep of metal polycrystalline systems based on silver, copper and nickel, the influence of surface phase transitions on diffusion creep. The scientist creates equipment for direct high-temperature studies of the interaction of solid phases with melts, develops a scientific direction for studying capillary effects in a plasma environment, and develops methods for synthesizing MAX phases. There are more than 50 articles, the Hirsch index is 13.

+7 495 638-44-66
zhevnenko@misis.ru

Alexey Olegovich Rodin

Doctor of Sciences in Physics and Mathematics, Professor of the Department of Physical Chemistry

Developed an algorithm for predicting the behavior of diffusing elements at grain boundaries of metal alloys. Modeling of the formation and growth of strengthening phases and prediction of the mechanical properties of steels based on the modeling results. Published 89 articles indexed by Scopus. Hirsch index — 15.

+7 499 638-45-53
rodin@misis.ru

Gallery

Quantum Technologies

This program is aimed at preparing specialists in quantum technologies. Students learn the basics of quantum mechanics, use AI methods for data analysis. Graduates are involved in production-technical support of IT companies. They are in demand as production-technical support specialists, and developers of AI device component base.

Duration of the program: 4 years. Full-time education in Russian.

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