Welcome to CloudFlame

CloudFlame is a cloud-based cyberinfrastructure for managing combustion research and enabling collaboration. The infrastructure includes both software and hardware components and is freely offered to anyone with a valid professional or educational affiliation. This website provides a front-end for data search tools, web-based numerical simulations, and discussion forums.


CloudFlame is developed by the Clean Combustion Research Center with funding from KAUST and Saudi Aramco under the FUELCOM program. This cyberinfrastructure is developed together with the ReSpecTh information system and the Process Informatics Model (PrIMe) portal. Collaborators include University of California Berkeley, National University of Ireland Galway, Lawrence Livermore National Laboratory, Eötvös University, and the University of Zagreb.


  1. G. Goteng, N. Nettyam, S.M. Sarathy. "CloudFlame: Cyberinfrastructure for Combustion Research", IEEE, China, 2013.
  2. G.L. Goteng, M. Speight, N. Nettyam, A. Farooq, M. Frenklach, S.M. Sarathy. "A Hybrid Cloud System for Combustion Kinetics Simulation", 23rd International Symposium on Gas Kinetics and Related Phenomena, Hungary, 2014.
  3. Zachary Reyno-Chiasson, Naveena Nettyam, Gokop L. Goteng, Matthew Speight,Bok Jik Lee, Sathya Baskaran, Jim Oreluk, Aamir Farooq, Hong G. Im, Michael Frenklach, S. Mani Sarathy. "CloudFlame and PrIMe: accelerating combustion research in the cloud". 9th International Conference on Chemical Kinetics, Ghent, Belgium, 2015.

Similar databases

ReSpecTh is an information system of the MTA-ELTE Complex Chemical Systems Research Group, prepared in collaboration with the Laboratory of Molecular Structure and Dynamics and the Chemical Kinetics Laboratory research laboratories of the Institute of Chemistry, Eötvös University, Budapest, Hungary.

PrIMe —Process Informatics Model— is a new approach for developing predictive models of chemical reaction systems that are based on the scientific collaboratory paradigm and takes full advantage of existing and developing cyberinfrastructure. The primary goals of PrIMe are collecting and storing data, validating the data and quantifying uncertainties, and assembling the data into predictive models with quantified uncertainties to meet specific user requirements.

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