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Computational Modelling Group: Preprint 152
https://como.ceb.cam.ac.uk/preprints/152/The issues relevant to adapting an existing park differs from those associated with constructing a new park using eco-industrial principles. ... Additional topics, such as network analysis, company motivation, confidentiality issues and introduction of -
Computational Modelling Group: Publication JoCP-352-373-387
https://como.ceb.cam.ac.uk/publications/JoCP-352-373-387/JoCP-352-373-387. A new iterative scheme for solving the discrete Smoluchowski equation. ... Access options. This paper draws from preprint 183: A New Iterative Scheme For Solving The Discrete Smoluchowski Equation. -
Computational Modelling Group: Preprint 195
https://como.ceb.cam.ac.uk/preprints/195/New breakage model reflects screw element geometry effects. Model captures the liquid distributing/growth promoting effects of kneading elements. ... We introduce a new twin-screw breakage model which takes into account the differing breakage dynamics -
Computational Modelling Group: Publication CaF-209-133-143
https://como.ceb.cam.ac.uk/publications/CaF-209-133-143/CaF-209-133-143. A new methodology to calculate process rates in a kinetic Monte Carlo model of PAH growth. ... Access options. This paper draws from preprint 224: A new methodology to calculate process rates in a KMC model of PAH growth. -
Computational Modelling Group: Preprint 266
https://como.ceb.cam.ac.uk/preprints/266/A new method that automatically generates training questions from ontologies is also implemented. -
Computational Modelling Group: Preprint 79
https://como.ceb.cam.ac.uk/preprints/79/Abstract. In this paper, new experimentally determined octane numbers (RON & MON) of blends of a tri-component surrogate consisting of toluene, n-Heptane, i-Octane (called toluene reference fuel TRF) arranged -
Computational Modelling Group: Preprint 215
https://como.ceb.cam.ac.uk/preprints/215/New multivariate PBM with detailed morphological description of titania aggregates. Overlapping spheres model of aggregates, resolving position of individual primaries. ... Experimental hot-wall reactor simulated. Abstract. The mathematical description -
Computational Modelling Group: Preprint 52
https://como.ceb.cam.ac.uk/preprints/52/New rates for the reactions involved in the cyclodehydrogenation process for the formation of 6-member rings on PAHs are calculated in this work based on density functional theory simulations. -
Computational Modelling Group: Michael Balthasar
https://como.ceb.cam.ac.uk/people/mb404/Michael Balthasar. Michael Balthasar. Post Doc. Biography. My name is Michael Balthasar and I graduated with a MA Chemistry at the University of Kaiserslautern in Germany in 1996. I made my PhD at the Department of Combustion Physics at the Lund -
Computational Modelling Group: Preprint 56
https://como.ceb.cam.ac.uk/preprints/56/Associated Themes:. Abstract. A new multidimensional model for the wet granulation of powders is presented, which includes the transformations coalescence, compaction, reaction, penetration and breakage. -
Computational Modelling Group: Preprint 254
https://como.ceb.cam.ac.uk/preprints/254/A new crosslinking reaction between two pentagonal rings around the periphery of aromatic molecules is proposed to produce a planar aromatic penta-linked hydrocarbon (APLH) complex. ... Abstract. A new crosslinking reaction between two pentagonal rings -
Computational Modelling Group: Gustavo Leon
https://como.ceb.cam.ac.uk/people/gl413/in the design of new technologies. -
Computational Modelling Group: Preprint 309
https://como.ceb.cam.ac.uk/preprints/309/We develop three new ontologies to describe and link environmental measurements and their respective reporting stations, flood events and their potential impact on population and built infrastructure as well as the -
Computational Modelling Group
https://como.ceb.cam.ac.uk/resources/flpyro/In a recent project, our group developed a new Abel inversion method (FLiPPID) tailored to the analysis of co-flow diffusion flame images. -
Computational Modelling Group: Preprint 47
https://como.ceb.cam.ac.uk/preprints/47/Eibeck and W. Wagner, Ann. Appl. Prob. (2001) 11:1137-1165] and allows the derivation of a range of new stochastic particle algorithms. -
Computational Modelling Group: Preprint 236
https://como.ceb.cam.ac.uk/preprints/236/In addition, a new ontology, which we call OntoSpecies, is developed for uniquely representing chemical species. -
Computational Modelling Group: Preprint 111
https://como.ceb.cam.ac.uk/preprints/111/emissions. A virtual octane test simulator was also developed to model new experimental data obtained in Research Octane Number (RON) tests, for the first time results were used to benchmark chemical -
Computational Modelling Group: Publication CaF-160-947-958
https://como.ceb.cam.ac.uk/publications/CaF-160-947-958/CaF-160-947-958. A new model for silicon nanoparticle synthesis. Authors: William J. ... Access options. This paper draws from preprint 121: A new model for silicon nanoparticle synthesis. -
Computational Modelling Group: Preprint 46
https://como.ceb.cam.ac.uk/preprints/46/A new wall-impingement sub-model is incorporated into the stochastic spray model for direct injection. -
Computational Modelling Group: Preprint 45
https://como.ceb.cam.ac.uk/preprints/45/A second, new model is introduced, in which all growth is concentrated on the formation of a frustum between the two primary particles and used to test the importance of the -
Computational Modelling Group: Preprint 5
https://como.ceb.cam.ac.uk/preprints/5/To describe the particle dynamics of the aerosol synthesis two different numerical techniques are studied; first, the method of moments (MoM), and second, a new stochastic particle method (SPM), which results -
Computational Modelling Group: Preprint 113
https://como.ceb.cam.ac.uk/preprints/113/By using a new counting method and a simple collision efficiency model, experimental mass spectra has been qualitatively reproduced and the results fit well with the experimental PSDs of the various -
Computational Modelling Group: Preprint 48
https://como.ceb.cam.ac.uk/preprints/48/The new tool is intended to be used for performing a variety of otherwise exceedingly expensive computational tasks such as multi-cycle multi-cylinder simulations, transient operation and control, optimization of -
Computational Modelling Group: Publication CSaT-191-747-765
https://como.ceb.cam.ac.uk/publications/CSaT-191-747-765/CSaT-191-747-765. Ion-Induced Soot Nucleation Using a New Potential for Curved Aromatics. ... Access options. This paper draws from preprint 214: Ion-induced soot nucleation using a new potential for curved aromatics. -
Computational Modelling Group
https://como.ceb.cam.ac.uk/vacancies/The fellowships target researchers holding a PhD who wish to carry out their research activities abroad, acquire new skills and develop their careers. -
Computational Modelling Group: Preprint 9
https://como.ceb.cam.ac.uk/preprints/9/The new algorithm, MFA, exhibits significant variance reduction - and therefore improved simulation efficiency - for the prediction of higher moments, but for our test case the zeroth moment (the total number of -
Computational Modelling Group: Anders Selmer
https://como.ceb.cam.ac.uk/people/as631/The project consists of two parts: incorporating an existing experiment from MIT in the laboratory course for the Cambridge students (together with Mike Goodson) and then to set up a new -
Computational Modelling Group: Preprint 25
https://como.ceb.cam.ac.uk/preprints/25/We introduce a new generalized majorant kernel to exploit the method of fictitious jumps reducing the computational expense for the direct simulation algorithm. -
Computational Modelling Group: Preprint 134
https://como.ceb.cam.ac.uk/preprints/134/Lastly, we use molecular dynamics with a new potential specifically developed for PAH interaction and the combined PAH-PP/KMC-ARS model to show that pyrene dimerisation is unlikely to be -
Computational Modelling Group: Preprint 287
https://como.ceb.cam.ac.uk/preprints/287/We suggest that considering the technological dimension as a new addition to the trifecta of economic, environmental and social sustainability goals that guide planning processes, can help governments to address this -
Computational Modelling Group: Preprint 237
https://como.ceb.cam.ac.uk/preprints/237/A new mesh-based analysis showed that the global curvature was saddle-like. -
Computational Modelling Group: Preprint 192
https://como.ceb.cam.ac.uk/preprints/192/Each stochastic jump process is presented in detail, including a new nucleation jump event capable of capturing the immersion nucleation processes in twin-screw granulation. -
Computational Modelling Group: Preprint 322
https://como.ceb.cam.ac.uk/preprints/322/Our exploration leads us to the concept of a CreatorSpace', a distributed digital system resembling existing hackerspaces and makerspaces known for accelerating the prototyping of new technologies worldwide. -
Computational Modelling Group: Preprint 8
https://como.ceb.cam.ac.uk/preprints/8/A new stochastic approach is introduced to model the convective heat transfer, which accounts for fluctuations and fluid-wall interaction effects. -
Computational Modelling Group: Preprint 150
https://como.ceb.cam.ac.uk/preprints/150/technologies. Abstract. This paper presents new insights into the implementation of Industry 4.0 technologies (novel mathematical and computer-based methods) for designing and optimising the eco-industrial park (EIP) of -
Computational Modelling Group: Preprint 286
https://como.ceb.cam.ac.uk/preprints/286/The natural language processing (NLP) models of the QA system need to be trained in order to interpret questions to be answered by new agents. -
Computational Modelling Group: Preprint 154
https://como.ceb.cam.ac.uk/preprints/154/It is found that the new algorithms show better numerical performance over the two existing methods especially for systems with significant amount of large particles and high fragmentation rates. -
Computational Modelling Group: Automated Lab
https://como.ceb.cam.ac.uk/research/weblabs/old/Previous Work - The MIT iLabs. In 1999. MIT. and Microsoft announced an alliance to conduct research and create new technologies to improve information technology-enabled teaching models and educational tools for ... Computational Modelling Group's -
Computational Modelling Group: Preprint 13
https://como.ceb.cam.ac.uk/preprints/13/Abstract. In this paper new stochastic algorithms for the numerical solution of systems of ordinary differential equations (ODEs) are proposed. -
Computational Modelling Group: Preprint 7
https://como.ceb.cam.ac.uk/preprints/7/specific case of the new algorithm. -
Computational Modelling Group: Preprint 29
https://como.ceb.cam.ac.uk/preprints/29/A new model for the decay in the surface activity is proposed in which the activity of the soot particle depends only on the history of that particle and the local -
Computational Modelling Group: Raphael Shirley
https://como.ceb.cam.ac.uk/people/ras81/Raphael Shirley. Raphael Shirley. Research Student. Biography. Raphael spent just over three years with the Computational Modelling Group from 2007 to 2011. He originally graduated in 2006 with a degree in physics from The Cavendish Laboratory in -
Computational Modelling Group: Preprint 283
https://como.ceb.cam.ac.uk/preprints/283/The system of agents also visualised and analysed the model by autonomously tracking interactions with a web interface as well as enriched the model by adding new information to the knowledge -
Computational Modelling Group: CFD
https://como.ceb.cam.ac.uk/research/cfd/rtds/Residence Time Distributions from CFD. The aim of this project was to develop a new method for first-pass validation of Computational Fluid Dynamics (. CFD. ) flow fields, by comparing calculated residence ... time distributions (. RTDs. ) with those -
Computational Modelling Group: Preprint 226
https://como.ceb.cam.ac.uk/preprints/226/New sintering parameters, informed by molecular dynamics simulations in the literature, are introduced into the model to account for the sintering behaviour of sub-10 nm particles. -
Computational Modelling Group: Preprint 207
https://como.ceb.cam.ac.uk/preprints/207/The results indicate that the physical interaction between fullerene-like polar aromatics and chemi-ions is critically assisting the nucleation, and opens a new route to reduce pollution and improve -
Computational Modelling Group: Preprint 244
https://como.ceb.cam.ac.uk/preprints/244/This new approach is accurate, easy to implement and computationally cheap. -
Computational Modelling Group: Preprint 294
https://como.ceb.cam.ac.uk/preprints/294/Abstract. In this work, a new OntoPESScan ontology is developed for the semantic representation of potential energy surfaces (PES), a central concept in computational chemistry. -
Computational Modelling Group: The World Avatar
https://como.ceb.cam.ac.uk/research/twa/solar and wind energy, the transport system, heating of commercial and domestic buildings, in addition to considerations relating to the acceptance and adoption of new technologies by the public. -
Computational Modelling Group: Preprint 181
https://como.ceb.cam.ac.uk/preprints/181/Secondly, JPS can be used to carry out process simulation. New process equilibrium can be evaluated after certain operation parameters change.
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