Jalolov Faridun

PhD thesis: Machine learning driven method for simulating of mechanical and elastic properties of polycrystalline and composite systems

Supervisor: Assistant prof. Alexander Kvashnin

IDC Committee members: Assistant prof. Sergey Levchenko, prof. Alexander Shapeev, Assistant prof. Alexander Kvashnin

Biography: 

Education

• 2020-2022 Skolkovo Institute of Science and Technology, Materials Science, Computational Materials Science, M. Sc. in Materials Science (diploma with honours).
• 2015-2019 Lomonosov Moscow State University, Department of Materials Science, B. Sc. at Chemistry, Physics and Mechanics of Materials (diploma with honours).

Publications

1. C. Tantardini, F. Jalolov, A. Kvashnin, Crystal Structure Evolution of Fluorine under High Pressure, The Journal of Physical Chemistry C, 126 (27), 11358, 2022. https://doi.org/10.1021/acs.jpcc.2c02213
2. S. Klimonsky, V. Lad, F. Jalolov, et. al, Photonic and Plasmonic Effects in Inverse Opal Films with Au nanoparticles, Photonics and Nanostructures-Fundamentals and Applications, 43, 100899, 2021. https://doi.org/10.1016/j.photonics.2021.100899

Conferences

1. F. Jalolov, Mechanical properties of single- and polycrystalline diamonds from machine learning. 15th International conference “Carbon: fundamental material science problems”, Moscow, Russia. 7-9 June, 2023. 
2. F. Jalolov, Machine learning driven method for simulating mechanical properties of single- and polycrystalline solids. XXVI Russian conference of young chemists (with international participation), Nizhniy Novgorod, Russia. 18-20 April, 2023. (Awarded for the best scientific report). 

Grants

• RSCF 20-12-00097 “Quantum mechanical modeling and experimental research of new superhard carbon phases. 2020-2023

• Participant in R&D project №11324 “New crystalline structures for photovoltaic materials”, 2022.

Participant in R&D project №DNT/13-23 “Optimization of strength characteristics of heat-resistant nickel alloys”, 2023