Open AccessFeatures of the educational program «Nanotechnologies and nanomaterials in energy»: machine learning
Author(s) -
D D Babenko,
А. С. Дмитриев,
P. G. Makarov,
I. A. Mikhailova
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2150/1/012031
Subject(s) - field (mathematics) , energy sector , nanomaterials , nanotechnology , energy (signal processing) , computer science , management science , engineering management , engineering , systems engineering , materials science , environmental economics , physics , mathematics , quantum mechanics , pure mathematics , economics
The results of the development of new educational programs in the field of nanotechnology and nanomaterials in the energy sector, which have been developed and are actively used by the National Research University “MPEI”, are presented. Modern nanomaterials and nanotechnological processes in traditional and alternative (“green”) energy require new approaches, including statistical methods for the analysis and synthesis of experimental data and design options. For this reason, without the active use of machine learning methods, it is impossible to train qualified specialists in the field of promising energy problems and their solutions. Through teaching, research, and innovation, «MPEI» exceptional community pursues its mission of service to the nation and the world.