Медведев Михаил Геннадьевич

Education and Degrees

2018

Candidate of Sciences* (PhD)
Lomonosov Moscow State University

2018

Doctoral programme in Chemistry
Nesmeyanov Institute of Organoelement Compounds of the Russian Academy of Sciences

2016

Degree in Fundamental and Applied Chemistry
Mendeleev University of Chemical Technology of Russia

* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.

Professional Interests

Chemical reactions mechanisms density functional theory

Courses (2023/2024)

Computer Science in Chemistry (Bachelor’s programme; Faculty of Chemistry; 1 year, 1-3 module)Rus
Past Courses

Timetable for today

Full timetable

Employment history

2018-now	Research Fellow, Laboratory of Molecular Modeling, N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences
2016-now	Research Fellow, Laboratory of X-Ray Diffraction, A.N. Nesmeyanov Institute of Organoelement Compounds, Russian Academy of Sciences, Russia

13

Mar

2024

‘Digital Chemistry Is the Cutting Edge of Science’

In 2024, a new track ‘Digital Chemistry and Artificial Intelligence Technologies’ will open within the Bachelor’s programme in Chemistry. This track will offer courses in digital engineering, multi-scale modelling, chemometrics, and chemoinformatics, as well as big data and artificial intelligence technologies. Specialists from HSE University, Zelinsky Institute of Organic Chemistry, Moscow Institute of Physics and Technology, and Peter the Great St Petersburg Polytechnic University will be among the lecturers.

17

Aug

2022

Scientists Doubt that DeepMind’s AI Is as Good for Fractional-Charge Systems as it Seems

In their paper published in Science in 2021, a DeepMind team showed how neural networks can be used to describe electron interactions in chemical systems more accurately than existing methods. A team of researchers from Skoltech, the Zelinsky Institute of Organic Chemistry, HSE University, Yandex, and Kyungpook National University show in their comment in Science that DeepMind AI’s ability to generalise the behaviour of such systems does not follow from the published results and requires revisiting, the Skoltech website says.

Michael Medvedev