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  2. Computational Modelling Group: Publication AE-204-1284-1298

    https://como.ceb.cam.ac.uk/publications/AE-204-1284-1298/
    New process equilibrium can be evaluated after certain operation parameters change.
  3. Computational Modelling Group: Publication C-125-132-138

    https://como.ceb.cam.ac.uk/publications/C-125-132-138/
    Auckland 1010. New Zealand. Website:.
  4. Computational Modelling Group: Publication SCaS-101-105113-

    https://como.ceb.cam.ac.uk/publications/SCaS-101-105113-/
    It builds on the idea of connected digital twins based on the World Avatar dynamic knowledge graph to deploy an ecosystem of autonomous software agents to continuously ingest new real-world
  5. Computational Modelling Group: Publication AO-9-13883-13896

    https://como.ceb.cam.ac.uk/publications/AO-9-13883-13896/
    This new approach offers significant advantages over the prior implementation that relied on knowledge graph embedding.
  6. Computational Modelling Group: Publication PotCI-34-1827-1835

    https://como.ceb.cam.ac.uk/publications/PotCI-34-1827-1835/
    A new model parameter data set is obtained by a two step parameter estimation against the median and coefficient of variation of experimental particle size distributions for various flames.
  7. Computational Modelling Group: Publication JoAS-162-105957-

    https://como.ceb.cam.ac.uk/publications/JoAS-162-105957-/
    There is a strong need to understand the nature of sub-23 nm particles and to develop measurement techniques to evaluate the feasibility of new regulations for particle number emissions in ... The new technology was validated in chassis dyno tests and on
  8. Computational Modelling Group: Publication F-313-122675-

    https://como.ceb.cam.ac.uk/publications/F-313-122675-/
    The paper shows a method for identifying the impact of the properties of the new substitutes.
  9. Computational Modelling Group: Publication JoCIaM-61-3868-3880

    https://como.ceb.cam.ac.uk/publications/JoCIaM-61-3868-3880/
    Moreover, a new method that automatically generates training questions from ontologies is also implemented.
  10. Computational Modelling Group: Publication PCCP-21-16240-16251

    https://como.ceb.cam.ac.uk/publications/PCCP-21-16240-16251/
    Pericondensed aromatics with different symmetries were calculated with this improved functional providing new scaling relationships for the OBG versus size.
  11. Computational Modelling Group: Publication PotCI-37-4831-4838

    https://como.ceb.cam.ac.uk/publications/PotCI-37-4831-4838/
    A new model has been developed to describe the size-dependent effects that are responsible for transient particle mass (PM) and particle number (PN) emissions observed during experiments of the active
  12. Computational Modelling Group: Publication AoCR-56-128-139

    https://como.ceb.cam.ac.uk/publications/AoCR-56-128-139/
    These tools enable the possibility of interoperability, enabling the representation of more complex systems, inference capabilities, and the synthesis of new knowledge.
  13. Computational Modelling Group: Publication PotCI-38-1449-1457

    https://como.ceb.cam.ac.uk/publications/PotCI-38-1449-1457/
    The model includes new processes to form seven-member rings via hydrogen-abstraction-acetylene-addition and bay closure reactions on sites containing partially embedded five-member rings.
  14. Computational Modelling Group: Publication TJoPCC-122-22210-22215

    https://como.ceb.cam.ac.uk/publications/TJoPCC-122-22210-22215/
    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
  15. Computational Modelling Group: Quantum Chemistry Preprints

    https://como.ceb.cam.ac.uk/preprints/quantum/
    Quantum Chemistry. Full List of Preprints with a Quantum Chemistry theme. 315:Dan N. Tran,and Markus Kraft, Technical Report 315, c4e-Preprint Series, Cambridge, 2023. 294:and Markus Kraft, Technical Report 294, c4e-Preprint Series, Cambridge, 2022.
  16. Computational Modelling Group: Publication CES-64-628-637

    https://como.ceb.cam.ac.uk/publications/CES-64-628-637/
    CES-64-628-637. 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.
  17. Computational Modelling Group: Publication C-48-319-332

    https://como.ceb.cam.ac.uk/publications/C-48-319-332/
    C-48-319-332. New polycyclic aromatic hydrocarbon (PAH) surface processes to improve the model prediction of the composition of combustion-generated PAHs and soot. ... Reference: Carbon 48, 319-332, (2010). Abstract. Two new polycyclic aromatic
  18. Computational Modelling Group: Publication CES-64-228-246

    https://como.ceb.cam.ac.uk/publications/CES-64-228-246/
    CES-64-228-246. A New Model for the Drying of Droplets Containing Suspended Solids After Shell Formation. ... Access options. This paper draws from preprint 59: A New Model for the Drying of Droplets Containing Suspended Solids after Shell Formation.
  19. Computational Modelling Group: Engines Preprints

    https://como.ceb.cam.ac.uk/preprints/engines/
    Engines. Full List of Preprints with a Engines theme. 298:Qiren Zhu, Yichen Zong, Jiawei Lai,Wenming Yang, and Markus Kraft, Technical Report 298, c4e-Preprint Series, Cambridge, 2022. 291:and Markus Kraft, Technical Report 291, c4e-Preprint Series,
  20. Computational Modelling Group: Publication SJoSC-28-303-320

    https://como.ceb.cam.ac.uk/publications/SJoSC-28-303-320/
    SJoSC-28-303-320. The Linear Process Deferment Algorithm: A new technique for solving population balance equations. ... Abstract. In this paper a new stochastic algorithm for the solution of population balance equations is presented.
  21. Computational Modelling Group: Publication CES-61-158-166

    https://como.ceb.cam.ac.uk/publications/CES-61-158-166/
    CES-61-158-166. A new method for calculating the diameters of partially-sintered nanoparticles and its effect on simulated particle properties. ... In this paper a new method for the calculation of the diameter of a partially-sintered particle is
  22. 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.
  23. Computational Modelling Group: Publication PotCI-30-1301-1308

    https://como.ceb.cam.ac.uk/publications/PotCI-30-1301-1308/
    PotCI-30-1301-1308. A new algorithm for the direct simulation of combustion systems and its application to reaction elimination. ... Access options. This paper draws from preprint 17: A New Method for the Automatic Elimination of Reactions from Large
  24. Computational Modelling Group: Particle Processes Publications

    https://como.ceb.cam.ac.uk/publications/particles/
    Modelling soot formation in a benchmark ethylene stagnation flame with a new detailed population balance model.
  25. Computational Modelling Group: Particle Processes Preprints

    https://como.ceb.cam.ac.uk/preprints/particles/
    213:and Markus Kraft, Technical Report 213, c4e-Preprint Series, Cambridge, 2018. 212: Modelling Soot Formation in a Benchmark Ethylene Stagnation Flame with a New Detailed Population Balance Model.
  26. Computational Modelling Group: Publication JoCP-211-638-658

    https://como.ceb.cam.ac.uk/publications/JoCP-211-638-658/
    JoCP-211-638-658. A new numerical approach for the simulation of the growth of inorganic nanoparticles. ... Access options. This paper draws from preprint 22: A New Numerical Approach for the Simulation of the Growth of Inorganic Nanoparticles.
  27. Computational Modelling Group: Numerics Preprints

    https://como.ceb.cam.ac.uk/preprints/algorithms/
    Numerics. Full List of Preprints with a Numerics theme. 299:Mikhail K. Kovalev, Alexei A. Lapkin, Joel W. Ager, and Markus Kraft, Technical Report 299, c4e-Preprint Series, Cambridge, 2022. 289:and Markus Kraft, Technical Report 289, c4e-Preprint
  28. Computational Modelling Group: Quantum Chemistry Publications

    https://como.ceb.cam.ac.uk/publications/quantum/
    Quantum Chemistry. Full List of Publications with a Quantum Chemistry theme. Number of publications listed in category: 57. 2023. and Markus Kraft, ACS Omega 8(2), 2462-2475, (2023). On the reactive coagulation of incipient soot nanoparticles.
  29. Computational Modelling Group: Attended Conferences

    https://como.ceb.cam.ac.uk/conferences/attended/
    Full List of the Computational Modelling Group's Presentations. Digital Twin Conference 2024Online, 7th February 2024-9th February 2024. Invited presentation byOrlando, Florida, USA, 5th November 2023-10th November 2023. Presentation byCambridge, UK,
  30. Computational Modelling Group: Publication TIJoER-13-1-25

    https://como.ceb.cam.ac.uk/publications/TIJoER-13-1-25/
    TIJoER-13-1-25. Spark ignition to homogeneous charge compression ignition mode transition study: a new modelling approach. ... Access options. This paper draws from preprint 62: Investigating Cycle to Cycle Variations in an SI Engine Through Experiments
  31. Computational Modelling Group: Numerics Publications

    https://como.ceb.cam.ac.uk/publications/algorithms/
    Numerics. Full List of Publications with a Numerics theme. Number of publications listed in category: 91. 2023. and Markus Kraft, Proceedings of the Combustion Institute 39(4), 5647-5655, (2023). Mikhail K. Kovalev, Alexei A. Lapkin, Joel W. Ager,
  32. Computational Modelling Group: Publication C-49-1516-1531

    https://como.ceb.cam.ac.uk/publications/C-49-1516-1531/
    This has led to the calculation of a new rate for the removal of carbon monoxide (CO) from soot. ... The simulation results show satisfactory agreement with experiment for the new CO removal rate.
  33. Computational Modelling Group: Publication CES-65-713-725

    https://como.ceb.cam.ac.uk/publications/CES-65-713-725/
    Reference: Chemical Engineering Science 65, 713-725, (2010). Abstract. Building on the new droplet drying framework developed by the authors in their previous work Handscomb et al., Chem. ... The new criteria are used in conjunction with the previously
  34. Computational Modelling Group: Publication JoAS-44-93-98

    https://como.ceb.cam.ac.uk/publications/JoAS-44-93-98/
    Reference: Journal of Aerosol Science 44, 93-98, (2012). Abstract. The aim of this work is to present a new detailed multivariate population balance model to describe the aerosol synthesis of ... The new model includes a chemical representation of the
  35. Computational Modelling Group: Engines Publications

    https://como.ceb.cam.ac.uk/publications/engines/
    Spark ignition to homogeneous charge compression ignition mode transition study: a new modelling approach.
  36. Computational Modelling Group: Nanoparticles Preprints

    https://como.ceb.cam.ac.uk/preprints/nano/
    213:and Markus Kraft, Technical Report 213, c4e-Preprint Series, Cambridge, 2018. 212: Modelling Soot Formation in a Benchmark Ethylene Stagnation Flame with a New Detailed Population Balance Model.
  37. Computational Modelling Group: Publication CC--389-407

    https://como.ceb.cam.ac.uk/publications/CC--389-407/
    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
  38. Computational Modelling Group: Publication CaF-158-1868-1876

    https://como.ceb.cam.ac.uk/publications/CaF-158-1868-1876/
    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
  39. Computational Modelling Group: Publication CES-70-54-66

    https://como.ceb.cam.ac.uk/publications/CES-70-54-66/
    New particle inception and surface growth steps have been incorporated into the particle model in which particles form and grow by the interaction of Si(OH).
  40. Computational Modelling Group: Seminar 2

    https://como.ceb.cam.ac.uk/seminar/2/
    Seminar 2. New stochastic simulation algorithms, and applications in coagulation processes and porous flow simulation.
  41. Computational Modelling Group: Nanoparticles Publications

    https://como.ceb.cam.ac.uk/publications/nano/
    Modelling soot formation in a benchmark ethylene stagnation flame with a new detailed population balance model.
  42. Computational Modelling Group: Publication CPL-510-154-160

    https://como.ceb.cam.ac.uk/publications/CPL-510-154-160/
    Totton, A.J. Misquitta, M. Kraft, J. Chem. Theory Comput. 6 (2010) 683] by developing a new transferable electrostatic model for PAH molecules.
  43. Computational Modelling Group: Publication PT-197-196-210

    https://como.ceb.cam.ac.uk/publications/PT-197-196-210/
    Mort. Reference: Powder Technology 197, 196-210, (2010). Abstract. A new multidimensional model for wet granulation is presented, which includes particle coalescence, compaction, reaction, penetration, and breakage.
  44. Computational Modelling Group: Sebastian Mosbach's Preprints

    https://como.ceb.cam.ac.uk/preprints/sm453/
    Sebastian Mosbach. Full List of Preprints co-authored by Sebastian Mosbach. 323:and Markus Kraft, Technical Report 323, c4e-Preprint Series, Cambridge, 2024. 322:Andrew Breeson,and Markus Kraft, Technical Report 322, c4e-Preprint Series, Cambridge,
  45. Computational Modelling Group: Publication PotCI-33-493-500

    https://como.ceb.cam.ac.uk/publications/PotCI-33-493-500/
    Thermochemical data and enthalpies of formation are calculated for 141 new species using density functional theory (DFT) and statistical mechanics.
  46. Computational Modelling Group: Publication PotCI-33-675-683

    https://como.ceb.cam.ac.uk/publications/PotCI-33-675-683/
    Reference: Proceedings of the Combustion Institute 33, 675-683, (2011). Abstract. In this work we present the new PAH-PP soot model and use a data collaboration approach to determine some
  47. Computational Modelling Group: Publication CaF-158-179-188

    https://como.ceb.cam.ac.uk/publications/CaF-158-179-188/
    Abstract. This paper presents experimental results and a new computational model that investigate cycle to cycle variations (CCV) in a spark ignition (SI) engine. ... Access options. This paper draws from preprint 62: Investigating Cycle to Cycle
  48. Computational Modelling Group: Publication CaF-159-1303-1313

    https://como.ceb.cam.ac.uk/publications/CaF-159-1303-1313/
    technique to iteratively suggest new experiments with the aim of decreasing the uncertainty in the parameter estimates.
  49. Computational Modelling Group: Sebastian Mosbach's Publications

    https://como.ceb.cam.ac.uk/publications/sm453/
    Spark ignition to homogeneous charge compression ignition mode transition study: a new modelling approach.
  50. Computational Modelling Group: Jethro Akroyd's Publications

    https://como.ceb.cam.ac.uk/publications/jwja2/
    Jethro Akroyd. Full List of Publications co-authored by Jethro Akroyd. Number of publications listed in category: 113. 2024. Yi-Kai Tsai, Magnus Müller, Karthik Nagarajan,and Markus Kraft, Energy and AI 17, 100376, (2024). and Markus Kraft, Energy
  51. Computational Modelling Group: Jethro Akroyd's Preprints

    https://como.ceb.cam.ac.uk/preprints/jwja2/
    Jethro Akroyd. Full List of Preprints co-authored by Jethro Akroyd. 324:and Markus Kraft, Technical Report 324, c4e-Preprint Series, Cambridge, 2024. 323:and Markus Kraft, Technical Report 323, c4e-Preprint Series, Cambridge, 2024. 322:Andrew Breeson

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