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  2. 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.
  3. 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
  4. 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
  5. 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
  6. 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!
  7. 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
  8. 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.
  9. 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
  10. 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.
  11. 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.
  12. Computational Modelling Group: Preprint 212

    https://como.ceb.cam.ac.uk/preprints/212/
    The capability of the new model to predict PSDs in a premixed stagnation flame is investigated. ... ability of this new model to describe the coagulation process of aggregate particles.
  13. Computational Modelling Group: Preprint 59

    https://como.ceb.cam.ac.uk/preprints/59/
    Preprint 59. Technical Report 59, c4e-Preprint Series, Cambridge. A New Model for the Drying of Droplets Containing Suspended Solids after Shell Formation.
  14. Computational Modelling Group: Preprint 224

    https://como.ceb.cam.ac.uk/preprints/224/
    Preprint 224. Technical Report 224, c4e-Preprint Series, Cambridge. A new methodology to calculate process rates in a KMC model of PAH growth. ... This paper develops a new methodology to calculate the process rates in a kinetic Monte Carlo (KMC) model
  15. Computational Modelling Group: Preprint 31

    https://como.ceb.cam.ac.uk/preprints/31/
    Preprint 31. Technical Report 31, c4e-Preprint Series, Cambridge. A New Computational Model for Simulating Direct Injection HCCI Engines. ... Abstract. We present a new probability density function (PDF) based computational model to simulate a direct
  16. Computational Modelling Group: Preprint 214

    https://como.ceb.cam.ac.uk/preprints/214/
    Preprint 214. Technical Report 214, c4e-Preprint Series, Cambridge. Ion-induced soot nucleation using a new potential for curved aromatics. ... A new intermolecular potential, curPAHIP, is developed for curved polycyclic aromatic hydrocarbons.
  17. Computational Modelling Group: Preprint 22

    https://como.ceb.cam.ac.uk/preprints/22/
    Preprint 22. Technical Report 22, c4e-Preprint Series, Cambridge. A New Numerical Approach for the Simulation of the Growth of Inorganic Nanoparticles.
  18. Computational Modelling Group: Preprint 121

    https://como.ceb.cam.ac.uk/preprints/121/
    Preprint 121. Technical Report 121, c4e-Preprint Series, Cambridge. A new model for silicon nanoparticle synthesis.
  19. Computational Modelling Group: Christopher Handscomb

    https://como.ceb.cam.ac.uk/people/csh33/
    Christopher Handscomb. Christopher Handscomb. Research Student. Biography. I was a member of the CoMo group for six years, undertaking a. UROP. project over the summer of 2003 investigating stochastic chemistry models in. HCCI. applications. I then
  20. Computational Modelling Group: Conferences

    https://como.ceb.cam.ac.uk/conferences/
    Introduction. Information on conferences and talks in which members of the Computational Modelling Group are or have been involved in can be accessed here. You will find links to the conferences or talks and can download the conference presentation.
  21. Computational Modelling Group: News item 164

    https://como.ceb.cam.ac.uk/news/164/
    News item 164. New paper - Modelling investigation of the thermal treatment of ash-contaminated particulate filters. ... 20 September 2021. Very excited to share our new paper investigating the effect of thermal treatment of ash-contaminated particulate

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