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1 - 10 of 142 search results for KaKaoTalk:vb20 200 |u:como.ceb.cam.ac.uk where 0 match all words and 142 match some words.
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  2. The Carbon Footprint and Non-Renewable Energy Demand of Algae-Derived …

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-128.pdf
    1 May 2019: The Carbon Footprint and Non-Renewable Energy Demand of Algae-Derived Biodiesel. Preprint Cambridge Centre for Computational Chemical Engineering ISSN 1473 – 4273. The Carbon Footprint and Non-RenewableEnergy Demand of Algae-Derived Biodiesel.
  3. Analysing the effect of screw configuration using a stochastic…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-195.pdf
    1 May 2019: Analysing the effect of screw configuration using a stochastic twin-screw granulation model. Preprint Cambridge Centre for Computational Chemical Engineering ISSN 1473 – 4273. Analysing the effect of screw configuration usinga stochastic
  4. A Detailed Chemistry Multi-cycle Simulation of a Gasoline Fueled HCCI …

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-64.pdf
    1 May 2019: 7. Table 3: Average emissions over 200 experimental and 40 simulated cycles (33 cycles forcase 3). ... 1. 0. 1. 2. 3. 4. 5. 6. 0 100 200 300 400 500 600.
  5. New polycyclic aromatic hydrocarbon (PAH) surface processes to…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-69.pdf
    1 May 2019: For PAHs larger than 200 C atoms, the C/H ratios of the computed PAHs are significantlyunder-predicted. ... It is worthmentioning that PAHs with more than 200 C atoms are not present in high concentrationsin the premixed laminar aliphatic flames [20].
  6. First-principles thermochemistry for the production of TiO2 from TiCl4

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-42.pdf
    1 May 2019: species(name = "Ar", atoms = " Ar:1 ", thermo = ( NASA( [ 200.00, 1000.00], [ 2.500000000E00, 0.000000000E00, 0.000000000E00, 0.000000000E00, 0.000000000E00, -7.453750000E02, 4.379674910E00] ), NASA( [ 1000.00, 6000.00], [ ... 2.500000000E00,
  7. A Big Data Framework to Validate Thermodynamic Data for Chemical…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-171.pdf
    1 May 2019: 0. 100. 200. 300. 400. 500. 600. 0 5 10 15 20 25 30 35 40 45 50 55Iteration.
  8. On the parameterisation of process flow sheet models

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-166.pdf
    1 May 2019: Operating temperature of heater 10E01 (oC) 60, 62.5, 65 80, 77.5, 75 70Molar flow of methanol (kmol/hr) 150, 160, 170 210, 200, 190 180.
  9. Numerical investigation of DQMoM-IEM as a turbulent reaction closure

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-76.pdf
    1 May 2019: 0.00. 200. 0004. 0.00. 090. 0009. DH. jet =. 0.0. 040. ... DH. ann. ulus. = 0. 0009. 0.00. 200. 0004. 0.00. 090.
  10. Coupling algorithms for calculating sensitivities of…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-70.pdf
    1 May 2019: J. Comput. Phys., 200(1):50–59, 2004. [17] A. Vikhansky and M. Kraft.
  11. Cambridge Centre forComputational Chemical Engineering University of…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-34.pdf
    1 May 2019: 13. 0. 50. 100. 150. 200. 250. 300. 350. 400. 0 10 20 30 40 50 60 70 80 90 100.

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