ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Browse by Author

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Item Type | No Grouping
Number of items: 5.

Conference Paper

Abrukov, VS and Lukin, AN and Chandrasekaran, N and Oommen, C and Thianesh, UK and Mariappan, A and Sanal Kumar, VR and Anufrieva, DA (2020) Genome approach and data science methods for accelerated discovery of new solid propellants with desired properties. In: AIAA Propulsion and Energy 2020 Forum, August 24-28, 2020, VIRTUAL EVENT, pp. 1-11.

Abrukov, VS and Lukin, AN and Kiselev, MV and Anufrieva, DA and Oommen, C and Chandrasekaran, N and Mariappan, A and Sanalkumar, VR (2019) Development of the multifactorial computational models of the solid propellant combustion by means of data science methods – Phase III. In: AIAA Propulsion and Energy Forum and Exposition, 2019, 19-22 Aug., 2019, Indianapolis; United States.

Chandrasekaran, N and Oommen, C and Bharath, RS and Abrukov, VS and Lukin, AN and Kiselev, MV and Anufrieva, DA and Sanalkumar, VR (2018) Development of the multifactorial computational models of the solid propellants combustion by means of data science methods –phase II. In: 54th AIAA/SAE/ASEE Joint Propulsion Conference, 2018, 9 - 1 July 2018, Cincinnati.

Abrukov, VS and Lukin, AN and Oommen, C and Sanalkumar, VR and Chandrasekaran, N and Sankar, V (2017) Development of the multifactorial computational models of the solid propellants combustion by means of data science methods. In: 53rd AIAA/SAE/ASEE Joint Propulsion Conference, 2017, 10 July 2017 - 12 July 2017, Atlanta.

Journal Article

Chandrasekaran, N and Oommen, C and Kumar, VRS and Lukin, AN and Abrukov, VS and Anufrieva, DA (2019) Prediction of Detonation Velocity and N−O Composition of High Energy C−H−N−O Explosives by Means of Artificial Neural Networks. In: Propellants, Explosives, Pyrotechnics, 44 (5). pp. 579-587.

This list was generated on Fri Apr 19 01:17:53 2024 IST.