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Computational Modelling Group: News item 24
https://como.ceb.cam.ac.uk/news/24/News item 24. Preprint 52 Published. 17 December 2007. Preprint 52, "A statistical approach to develop a detailed soot growth model using. -
Computational Modelling Group: News item 156
https://como.ceb.cam.ac.uk/news/156/News item 156. Preprint 272 published. 28 April 2021. Preprint 272, ''Radial dependence of TiO. -
Computational Modelling Group: News item 165
https://como.ceb.cam.ac.uk/news/165/News item 165. Will using heat pumps for domestic heating increase or decrease inequality? -
Computational Modelling Group: News item 157
https://como.ceb.cam.ac.uk/news/157/News item 157. Preprint 274 published. 07 July 2021. Preprint 274, ''How does blending oxygenated fuels affect soot formation from Jet A2 diffusion flames?'', has been published! -
Computational Modelling Group: News item 120
https://como.ceb.cam.ac.uk/news/120/News item 120. CoMo group attends Dublin Symposium. 09 August 2018. ... Parametric sensitivity study of soot particle size distribution in a benchmark ethylene burner-stabilized stagnation flame with a new detailed population balance model, by D. -
Computational Modelling Group: News item 154
https://como.ceb.cam.ac.uk/news/154/News item 154. Preprint 269 published. 12 April 2021. Preprint 269, "The role of oxygenated species in the growth of graphene, fullerenes and carbonaceous particles", has been published! -
Computational Modelling Group: News item 105
https://como.ceb.cam.ac.uk/news/105/News item 105. Preprint 114 published. 19 January 2012. Preprint 114, "HCCI Combustion Control Using Dual-Fuel Approach: Experimental and Modeling Investigations". . -
Computational Modelling Group: News item 20
https://como.ceb.cam.ac.uk/news/20/News item 20. CoMo Group in Pan-European Research Network. 23 October 2007. -
Computational Modelling Group: News item 146
https://como.ceb.cam.ac.uk/news/146/News item 146. Preprint 261 published. 05 November 2020. Preprint 261, ''Structural effects of C3 oxygenated fuels on soot formation in ethylene coflow diffusion flames'', has been published! -
Computational Modelling Group: News item 112
https://como.ceb.cam.ac.uk/news/112/News item 112. Two post-doctoral research associate positions available. 14 April 2014. -
Computational Modelling Group: News item 55
https://como.ceb.cam.ac.uk/news/55/News item 55. Preprint 75 published. 08 June 2009. Preprint 75, "First-Principles Thermochemistry for Silicon Species in the Decomposition of Tetraethoxysilane ", has been published on the CoMo Group website. -
Computational Modelling Group: News item 142
https://como.ceb.cam.ac.uk/news/142/News item 142. Preprint 255 published. 14 May 2020. Preprint 255, ''The effect of poly(oxymethylene) dimethyl ethers (PODE. -
Computational Modelling Group: News item 135
https://como.ceb.cam.ac.uk/news/135/News item 135. Prof. Kraft wins prestigious German research prize. 27 August 2019. -
Computational Modelling Group: News item 110
https://como.ceb.cam.ac.uk/news/110/News item 110. PhD studentship for UK/EU nationals in Computational Chemical Engineering (Fixed Term). ... If you are unable to send your application via email, please post it to: The Research Secretary, Department of Chemical Engineering and -
Computational Modelling Group: News item 114
https://como.ceb.cam.ac.uk/news/114/News item 114. Positions available at Cambridge Center for Carbon Reduction in Chemical Technology (C4T) within Cambridge CARES in Singapore. ... 24 April 2014. A number of new positions are available as Research Fellow, Technical Programme Manager, -
Computational Modelling Group: News item 37
https://como.ceb.cam.ac.uk/news/37/News item 37. 32nd International Symposium on Combustion, McGill University, Montreal. -
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. -
Computational Modelling Group: News item 140
https://como.ceb.cam.ac.uk/news/140/News item 140. Supercharging decarbonisation through intelligent technologies. 14 February 2020. ... Integrating digital tools into the world’s energy systems could reduce carbon emissions by more than 50 per cent, a new review has found. -
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 -
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 -
Computational Modelling Group: News item 172
https://como.ceb.cam.ac.uk/news/172/News item 172. The World Avatar added to WEF’s list of Global Use Cases. -
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 -
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 -
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 -
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 -
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. -
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 -
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. -
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. -
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 -
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. -
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 -
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. -
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. -
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. -
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. -
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 -
Computational Modelling Group
https://como.ceb.cam.ac.uk/contact/Contact Information. If you have a general enquiry about the work of the Computational Modelling Group, please do not hesitate to contact Prof. 2024 Computational Modelling Group. Department of Chemical Engineering and Biotechnology. University of -
Computational Modelling Group: Preprint 97
https://como.ceb.cam.ac.uk/preprints/97/These new species are not present at high concentration in the exit stream. ... 2. and providing the heat. Data for all the new species is provided as Supplemental Material. -
Computational Modelling Group: Preprint 63
https://como.ceb.cam.ac.uk/preprints/63/Abstract. Building on the new droplet drying framework developed by the authors in their previous papers, this paper develops physically motivated criteria for dynamically deciding the appropriate structural sub-model to ... The new criteria are used in -
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. -
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 -
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 -
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 -
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 -
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 -
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 -
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 -
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. -
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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