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  2. Computational Modelling Group: Preprint 76

    https://como.ceb.cam.ac.uk/preprints/76/
    The method is not new, but we present a systematic study that considers several important new aspects of the method. ... In particular we demonstrate a new analytic expression for the DQMoM-IEM source terms.
  3. Computational Modelling Group: Preprint 279

    https://como.ceb.cam.ac.uk/preprints/279/
    In this work we develop new ontologies to extend the World Avatar knowledge graph to represent gas grids, gas consumption statistics, and climate data. ... Using a combination of the new and existing ontologies we construct a Universal Digital Twin that
  4. Computational Modelling Group: Preprint 70

    https://como.ceb.cam.ac.uk/preprints/70/
    In this paper, two new stochastic algorithms for calculating parametric derivatives of the solution to the Smoluchowski coagulation equation are presented. ... The new algorithms (called 'Single' and 'Double') work by coupling two Marcus-Lushnikov
  5. Computational Modelling Group: Clive Wells

    https://como.ceb.cam.ac.uk/people/cgw11/
    Clive Wells. Clive Wells. Post Doc. Biography. I obtained my PhD from the general relativity group in the department of applied mathematics and theoretical physics at Cambridge. There I studied the mathematical theory of black holes and time
  6. Computational Modelling Group: Alastair Smith

    https://como.ceb.cam.ac.uk/people/ajs224/
    Alastair Smith. Alastair Smith. Post Doc. Biography. Alastair couples stochastic algorithms for solving general multidimensional population balance equations to CFD. He is also interested in moment problems and DQMoM. Research Themes. Recent
  7. Computational Modelling Group: Preprint 6

    https://como.ceb.cam.ac.uk/preprints/6/
    The algorithm presented was applied to a PSR model. Moreover, numerical performance of this new algorithm was investigated in a more complex system. ... It was found that, depending on the required accuracy, the new stochastic approach clearly
  8. Computational Modelling Group: Mike Goodson

    https://como.ceb.cam.ac.uk/people/mjg43/
    Mike Goodson. Mike Goodson. Research Student. Biography. I joined the Department of Chemical Engineering as an undergraduate in 1997, having completed a year of Natural Sciences at Part IA. The subsequent three years spent in the department gave me
  9. Computational Modelling Group: Preprint 217

    https://como.ceb.cam.ac.uk/preprints/217/
    New regression based methodology (FLiPPID) for performing the inverse Abel transform is reported. ... Abstract. This letter reports a new regression method based on fitting the line-of-sight projection of a predefined intensity distribution (FLiPPID) to
  10. Computational Modelling Group: Preprint 84

    https://como.ceb.cam.ac.uk/preprints/84/
    steps which need to be taken in order to create a new generation of engineering models.
  11. Computational Modelling Group: Preprint 100

    https://como.ceb.cam.ac.uk/preprints/100/
    Building on the theoretical work presented here and previous experimental results a new kinetic model is constructed consisting of a TiCl. ... Unlike the previous phenomenological models, this new Eley-Rideal model is under the theoretical limit at all

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