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  2. Computational Modelling Group

    https://como.ceb.cam.ac.uk/
    We are pleased to share the news of the recognition received by our 2. ... Our new review on soot inception was just published in Progress in Energy and Combustion Science.
  3. Computational Modelling Group: News item 10

    https://como.ceb.cam.ac.uk/news/10/
    News item 10. Cambridge Weblab Goes Live! 08 December 2006. The opening ceremony for the Cambridge Weblab, developed by members of the CoMo Group, took place on the 8th December 2006.
  4. Computational Modelling Group: Preprint 50

    https://como.ceb.cam.ac.uk/preprints/50/
    Preprint 50. Technical Report 50, c4e-Preprint Series, Cambridge. A New Model For The Drying of Droplets Containing Suspended Solids. ... Abstract. A new droplet drying model incorporating a population balance to model suspended solids is introduced.
  5. Computational Modelling Group: Research

    https://como.ceb.cam.ac.uk/research/
    Introduction. The World Avatar:. The Computational Modelling (CoMo) group is active in developing and researching the use of new web-technologies, mainly in the field of knowledge graphs with The World ... Methods:. The CoMo group is also leading the
  6. Computational Modelling Group: News item 8

    https://como.ceb.cam.ac.uk/news/8/
    News item 8. New Website Goes Live! 01 December 2006. The CoMo group's new website went live on Friday 1st December, 2006.
  7. Computational Modelling Group: Preprint 69

    https://como.ceb.cam.ac.uk/preprints/69/
    Preprint 69. Technical Report 69, c4e-Preprint Series, Cambridge. New polycyclic aromatic hydrocarbon (PAH) surface processes to improve the model prediction of the composition of combustion-generated PAHs and soot. ... Two new polycyclic aromatic
  8. Computational Modelling Group: News item 4

    https://como.ceb.cam.ac.uk/news/4/
    News item 4. Pictures from the reactors exercise. 08 March 2006.
  9. Computational Modelling Group: Preprint 12

    https://como.ceb.cam.ac.uk/preprints/12/
    The new algorithm is compared to the software packages DASSL and LSODE, which are shown to be outperformed for moderate precision. ... The numerical experiments also indicates that the approximate solution obtained from the new algorithm converges to the
  10. Computational Modelling Group: News item 38

    https://como.ceb.cam.ac.uk/news/38/
    News item 38. CoMo Group Welcomes New Members at Summer BBQ. ... 09 September 2008. The annual CoMo Group summer barbeque saw three new members being welcomed to our research team.
  11. Computational Modelling Group: Preprint 62

    https://como.ceb.cam.ac.uk/preprints/62/
    Preprint 62. Technical Report 62, c4e-Preprint Series, Cambridge. Investigating Cycle to Cycle Variations in an SI Engine Through Experiments and a New Computational Model. ... Abstract. This paper presents experimental results and a new computational
  12. Computational Modelling Group: News item 23

    https://como.ceb.cam.ac.uk/news/23/
    News item 23. New Engines Section Added to CoMo Group Website. ... You can now read about this work in the new engines section of this website.
  13. Computational Modelling Group: Preprint 183

    https://como.ceb.cam.ac.uk/preprints/183/
    Preprint 183. Technical Report 183, c4e-Preprint Series, Cambridge. A New Iterative Scheme For Solving The Discrete Smoluchowski Equation. ... Abstract. This paper introduces a new iterative scheme for solving the discrete Smoluchowski equation and
  14. Computational Modelling Group: News item 9

    https://como.ceb.cam.ac.uk/news/9/
    News item 9. New Teaching Materials Section. 22 January 2007. As well as conducting ground-breaking research, the Computational Modelling group is actively involved in the teaching of undergraduate students in
  15. Computational Modelling Group: Preprint 26

    https://como.ceb.cam.ac.uk/preprints/26/
    Preprint 26. Technical Report 26, c4e-Preprint Series, Cambridge. The Linear Process Deferment Algorithm: A new technique for solving population balance equations. ... Associated Themes:. Abstract. In this paper a new stochastic algorithm for the
  16. Computational Modelling Group: News item 159

    https://como.ceb.cam.ac.uk/news/159/
    News item 159. New paper - diradical aromatic soot precursors in flames. ... 04 August 2021. Very excited to share our new paper on the molecular species that could lead to soot formation!
  17. Computational Modelling Group: Preprint 17

    https://como.ceb.cam.ac.uk/preprints/17/
    Preprint 17. Technical Report 17, c4e-Preprint Series, Cambridge. A New Method for the Automatic Elimination of Reactions from Large Mechanisms. ... Due to its immediate relationship to stochastic direct simulation, our new (deterministic) algorithm can
  18. Computational Modelling Group: News item 166

    https://como.ceb.cam.ac.uk/news/166/
    News item 166. New paper - Soot inception: Carbonaceous nanoparticle formation in flames. ... 01 November 2021. Our new review on soot inception was just published in Progress in Energy and Combustion Science.
  19. Computational Modelling Group: News item 7

    https://como.ceb.cam.ac.uk/news/7/
    News item 7. Control Exercise. 08 January 2005. As a part of the Web Based Teaching Project we were running a control exercise during Lent term 2004. ... Performing experiments over the internet is new and quite different from the hands on experiences
  20. Computational Modelling Group

    https://como.ceb.cam.ac.uk/news/
    New paper - Universal Digital Twin: Integration of national-scale energy systems and climate data. ... New paper - Modelling investigation of the thermal treatment of ash-contaminated particulate filters.
  21. Computational Modelling Group: News item 3

    https://como.ceb.cam.ac.uk/news/3/
    News item 3. The 2004 autumn meeting of the Combustion Institute (British Section) on Particles in Flames.

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