Výsledky vyhledávání - "V. R. Sanalkumar"

Multifactor Computational Models of the Effect of Catalysts on the Combustion of Ballistic Powders (experimental results of Denisyuk team) Direct Tasks, Virtual Experiments and Inverse Problems

Autor: V. S. Abrukov, Anufrieva, Darya, V R Sanalkumar, A Mariappan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6ff078b3160506dc0b93d15852bfd648

Zobrazit plný text záznamu

Development of the Multifactor Computational Models of the Solid Propellants Combustion by Means of Data Science Methods. Propellant Combustion Genome Conception

Autor: Victor S. Abrukov, Charlie Oommen, Darya A. Anufrieva, V. R. Sanalkumar, Nichith Chandrasekaran, Alexander N. Lukin

Publikováno v: MATEC Web of Conferences, Vol 330, p 01048 (2020)

The results of usage of data science methods, in particular artificial neural networks, for the creation of new multifactor computational models of the solid propellants (SP) combustion that solve the direct and inverse tasks are presented. The own a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::497ff1519b5345f51e68d5b9d36ce30c

Zobrazit plný text záznamu

COMPREHENSIVE STUDY OF AP PARTICLE SIZE AND CONCENTRATION EFFECTS ON THE BURNING RATE OF COMPOSITE AP/HTPB PROPELLANTS BY MEANS OF NEURAL NETWORKS. DEVELOPMENT OF THE MULTIFACTOR COMPUTATIONAL MODELS. DIRECT TASKS AND INVERSE PROBLEMS & VIRTUAL EXPERIMENTS

Autor: Abrukov, Victor S, Anufrieva, Darya A, V R Sanalkumar, Amrith Mariappan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f6b78adf66edf0c4b29857cae45a54f6

Zobrazit plný text záznamu

Generalized multifactor computational models of the detonation of condensed systems

Autor: D A Anufrieva, V S Abrukov, A N Lukin, C Oommen, V R Sanalkumar, N Chandrasekaran

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7c49c582c595d8cbe17d0c9ed6507f74

Zobrazit plný text záznamu

Recent Advancements in Study of Effects of Nano/Micro Additives on Solid Propellants Combustion by Means of the Data Science Methods

Autor: Darya A. Anufrieva, Charlie Oommen, Rajaghatta Sundararam Bharath, Victor S. Abrukov, Nichith Chandrasekaran, V. R. Sanalkumar, Alexander N. Lukin

The efforts of Russian-Indian research team for application of the data science methods, in particular, artificial neural networks for development of the multi-factor computational models for studying effects of additive’s properties on the solid r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::624aa994b68d5ed6b7feeadf01a985f9

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání