Modeling the vibrational relaxation rate using machine-learning methods

DOI10.1134/S1063454122010022OpenAlexW4281671613MaRDI QIDQ2674733

E. V. Kustova, M. A. Bushmakova

Publication date: 14 September 2022

Published in: Vestnik St. Petersburg University. Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s1063454122010022

zbMATH Keywords

machine learningnonequilibrium flowsvibrational kinetics

Mathematics Subject Classification ID

Artificial intelligence (68Txx) Computer science (68-XX) Applications of quantum theory to specific physical systems (81Vxx)

Related Items (2)

Scientific school of nonequilibrium aeromechanics at St. Petersburg State University ⋮ Neural-network-based approach to the description of vibrational kinetics of carbon dioxide

Uses Software

• Scikit

Cites Work

• Machine learning and artificial intelligence in the works of V. A. Yakubovich
• Non-Equilibrium Reacting Gas Flows
• Solving the quantum many-body problem with artificial neural networks

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