Search
Search Funnelback University
201 -
250 of
812
search results for news |u:como.ceb.cam.ac.uk
Fully-matching results
-
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: 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: 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: 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: 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 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 -
Computational Modelling Group: Preprint 86
https://como.ceb.cam.ac.uk/preprints/86/This work proposes a new kinetic model and a novel inception pathway for the flame synthesis of silica nanoparticles from tetraethoxysilane (TEOS). ... New particle inception and surface growth steps have been incorporated into the particle model in -
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 55
https://como.ceb.cam.ac.uk/preprints/55/3. TiO. 2. Cl. 3. = 2 TiOCl. 3. , and a number of new elementary reactions are added. ... The new kinetic model is used to simulate a rapid compression machine (RCM) and a plug flow reactor (PFR) described in the literature. -
Computational Modelling Group: Preprint 83
https://como.ceb.cam.ac.uk/preprints/83/The energetics and the kinetics of the new reactions are studied using density functional theory (DFT) and transition state theory, respectively, and their evaluated rates are presented. ... Due to a discrepancy in the rate for CO removal from soot -
Computational Modelling Group: Preprint 103
https://como.ceb.cam.ac.uk/preprints/103/The aim of this work is to present a new detailed multivariate population balance model to describe the aerosol synthesis of silica nanoparticles from tetraethoxysilane (TEOS). ... The new model includes a chemical representation of the silica particles -
Computational Modelling Group: Alexander Vikhansky
https://como.ceb.cam.ac.uk/people/av277/Alexander Vikhansky. Alexander Vikhansky. Visitor. Biography. My name is Alexander Vikhansky and I graduated at the Faculty of Mechanics and Mathematics at the Perm University in Perm, Russia. I made my PhD at the Ben-Gurion University of the Negev -
Computational Modelling Group: Preprint 61
https://como.ceb.cam.ac.uk/preprints/61/The new model is based on the Stochastic Reactor Model (SRM) engine code, which uses detailed chemistry and takes into account convective heat transfer and turbulent mixing, and the soot formation ... The new model is applied to simulate an n-heptane -
Computational Modelling Group: Preprint 149
https://como.ceb.cam.ac.uk/preprints/149/The numerical behaviour of the new stochastic weighted algorithm is compared against the existing direct simulation algorithm. ... Lastly, the performance of the new compartmental model is then investigated by comparing the predicted particle size -
Computational Modelling Group: William Menz
https://como.ceb.cam.ac.uk/people/wjm34/William Menz. William Menz. Research Student. Biography. I was awarded a B.Sc. degree in Chemistry and Applied Mathematics and a B.E. degree in Chemical Engineering with first-class Honours from the University of Adelaide, Australia in December 2009. -
Computational Modelling Group: Preprint 27
https://como.ceb.cam.ac.uk/preprints/27/Abstract. At the University of Cambridge, UK, we have developed, used, and evaluated a new exercise in Process Dynamics and Control incorporating a web-based experiment physically located at MIT. ... We describe the experimental equipment, the interface -
Computational Modelling Group: Martin Martin
https://como.ceb.cam.ac.uk/people/mm864/dissertation. Furthermore, I have developed interests in Machine Learning Algorithms, such as the Relevance Vector Machine and new techniques for fast and accurate fluid simulation, such as The Level Set Method. -
Computational Modelling Group: Particle Processes
https://como.ceb.cam.ac.uk/research/particles/The interests in the group can be split into two broad classes: modelling industrial particle processes; and developing new computational techniques for representing associated phenomena. ... tablets. There is even research into the perfect crumble -
Computational Modelling Group: Preprint 38
https://como.ceb.cam.ac.uk/preprints/38/Completely new bivariate models for soot particle structure are introduced based on some simple assumptions and without any free parameters. ... Bivariate particle distributions are calculated for the new models and are found to be insensitive to the -
Computational Modelling Group: Preprint 297
https://como.ceb.cam.ac.uk/preprints/297/We designed a Distance Agent to track the interactions with the model members on the web, calculate distances between objects of interest, and add new knowledge to the Cities Knowledge Graph. ... This new era of GeoWeb 2.5 systems lowers the risk of -
Computational Modelling Group
https://como.ceb.cam.ac.uk/resources/molhub/The main difference between the old and new versions is that the new one is using ontologies and thus facilitates inferencing and reasoning as well as semantic interoperability with other -
Computational Modelling Group: Shraddha Shekar
https://como.ceb.cam.ac.uk/people/ss663/I am a member of New Hall (Murray Edwards) college, and am being funded by Cambridge Commonwealth Trust and New Hall BP Centenary Bursary. -
Computational Modelling Group: Preprint 81
https://como.ceb.cam.ac.uk/preprints/81/This new potential has been shown to accurately predict interaction energies for a variety of dimer configurations for four different PAH molecules including certain configurations which are poorly predicted with current -
Computational Modelling Group: Preprint 101
https://como.ceb.cam.ac.uk/preprints/101/Chem. Theory Comput. 2010, 6, 683-695) by developing a new transferable electrostatic model for PAH molecules. -
Computational Modelling Group: Nick Eaves
https://como.ceb.cam.ac.uk/people/nae28/Nick Eaves. Nick Eaves. Post Doc. Biography. Dr. Nick Eaves studied Mechanical Engineering at the University of Waterloo where he obtained his BASc. After completing his BASc, he join the Combustion Research Lab at the University of Toronto (UofT) -
Computational Modelling Group: Preprint 292
https://como.ceb.cam.ac.uk/preprints/292/Ontological representation of MOPs and their related concepts. Knowledge-based rational derivation of new MOP designs by a software agent. ... defines MOPs and their key properties; iv) input agents that populate The World Avatar (TWA) knowledge graph; -
Computational Modelling Group: Preprint 168
https://como.ceb.cam.ac.uk/preprints/168/Abstract. A new method of moments for solving the population balance equation is developed and presented. ... The new method predicts mean quantities which are almost as accurate as a high-precision stochastic method calculated using the established -
Computational Modelling Group: Jacob Martin
https://como.ceb.cam.ac.uk/people/jwm50/He completed a Bachelor of Science with First Class Honours in Chemistry and Physics followed by Masters in Chemistry at the University of Auckland (New Zealand). -
Computational Modelling Group: Jonathan Etheridge
https://como.ceb.cam.ac.uk/people/jee33/Spark ignition to homogeneous charge compression ignition mode transition study: a new modelling approach. -
Computational Modelling Group: Preprint 250
https://como.ceb.cam.ac.uk/preprints/250/New measurements of CH and temperature are reported as 2D fields. ... Abstract. New experimental 2D measurements are reported to characterise the flame location, shape and temperature of laminar premixed ethylene jet-wall stagnation flames when the -
Computational Modelling Group: Preprint 72
https://como.ceb.cam.ac.uk/preprints/72/Furthermore, two methods of establishing 'efficiency' are considered and the new algorithm is found to be significantly more efficient. -
Computational Modelling Group: Preprint 51
https://como.ceb.cam.ac.uk/preprints/51/Abstract. A new, advanced soot particle model is developed which describes soot particles by their aromatic structure including functional site descriptions and a detailed surface chemistry mechanism. -
Computational Modelling Group: Preprint 53
https://como.ceb.cam.ac.uk/preprints/53/Simulations are presented of a premixed flame using this improved rate and a new advanced soot particle model, which is developed in this paper. -
Computational Modelling Group: Peter Man
https://como.ceb.cam.ac.uk/people/plwm2/Peter Man. Peter Man. Research Student. Biography. I graduated from Cambridge doing BA Mathematics in 2006. I then completed the MPhil in Statistical Science in 2007, and am now part of the Computational Modelling Group, starting from October 2007. -
Computational Modelling Group: Numerics
https://como.ceb.cam.ac.uk/research/algorithms/Besides using the latest computational techniques, many members of the group take an active interest in the mathematical development, formulation and practical implementation of new algorithms within the various fields of ... A more detailed - and -
Computational Modelling Group: Jasdeep Singh
https://como.ceb.cam.ac.uk/people/js400/Jasdeep Singh. Jasdeep Singh. Research Student. Biography. Dr. Jasdeep Singh finished his doctorate degree in the CoMo group (2006) in "Detailed soot modelling in laminar premixed flames". Presently, he is working with Ranbaxy as Business -
Computational Modelling Group: Preprint 87
https://como.ceb.cam.ac.uk/preprints/87/In this work we present the new PAH-PP soot model and use a data collaboration approach to determine some of its parameters. -
Computational Modelling Group: Abhijeet Raj
https://como.ceb.cam.ac.uk/people/ar447/Abhijeet Raj. Abhijeet Raj. Research Student. Biography. Hi! This is Abhijeet Raj, currently a PhD student in the CoMo Group. I started my PhD in October 2006, for which I was awarded Cambridge Nehru Scholarship and Overseas Research Studentship. I -
Computational Modelling Group: Preprint 104
https://como.ceb.cam.ac.uk/preprints/104/We implement an algorithm which estimates parameters of an internal combustion engine model using a Bayesian approach and employs an experimental design technique to iteratively suggest new experiments with the aim -
Computational Modelling Group: Preprint 49
https://como.ceb.cam.ac.uk/preprints/49/The particle model incorporating inception, coagulation, growth, and sintering, is coupled to the new gas phase kinetic model using operator splitting, and is used to simulate a heated furnace laboratory reactor -
Computational Modelling Group: Preprint 19
https://como.ceb.cam.ac.uk/preprints/19/Associated Themes:. Abstract. In this paper we investigate a new stochastic particle method (SPM) for solving an extension to the sintering-coagulation equation and model two particle systems: the production of ... A new mass-flow stochastic algorithm to -
Computational Modelling Group: Publication CaF-203-56-71
https://como.ceb.cam.ac.uk/publications/CaF-203-56-71/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 277
https://como.ceb.cam.ac.uk/preprints/277/Outlined the outlook for the World Avatar project. Abstract. Digitalisation enhances communication and therefore offers new ways to achieve efficiency gains in science, technology and society at large. -
Computational Modelling Group: Preprint 58
https://como.ceb.cam.ac.uk/preprints/58/The numerical convergence of the new algorithm is demonstrated, and its efficiency is compared to that of the Strang splitting algorithm. -
Computational Modelling Group: Preprint 85
https://como.ceb.cam.ac.uk/preprints/85/Thermochemical data and enthalpies of formation are calculated for 141 new species using density functional theory (DFT) and statistical mechanics. -
Computational Modelling Group: Preprint 303
https://como.ceb.cam.ac.uk/preprints/303/Highlights. Revised novel semantic web systems architecture for inferences. Inference Agent capable of deriving new knowledge by applying graph and ontology based inference algorithms. ... infer new statements by an intelligent autonomous agent capable -
Computational Modelling Group: Preprint 3
https://como.ceb.cam.ac.uk/preprints/3/Sci Comput. 22(3):8022-821,2000), we model the system as a Markov process and introduce a new majorant kernel that enables us to extend the use of fictitious jumps ... Gillespie, J. Atmos. Sci. 32(10):1977-1989, 1975). We also compare the efficiency of -
Computational Modelling Group: Preprint 239
https://como.ceb.cam.ac.uk/preprints/239/the minimum interaction energy) between two colliding particles. To test the performance of this new coagulation efficiency model, we applied it in detailed population balance modelling of soot particle size distributions ... Moreover, the agreement
Refine your results
Date
- 480 Uncertain
- 253 2019
- 27 2023
- 23 Past year
- 23 2021
- 16 2020
- 8 2022
- 5 2024
- 4 Past 6 months
- 2 Past 3 months
- 1 Past fortnight
- 1 Past month
Search history
Recently clicked results
Recently clicked results
Your click history is empty.
Recent searches
Recent searches
Your search history is empty.