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  2. A knowledge-graph approach to combustion chemistry and…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-256.pdf
    6 Jul 2020: reuse of waste materials and heat to achieve environmental and economic benefit [25].An EIP may involve recovered waste-heat supply to district heating, material exchanges,energy systems, and wastewater treatment ... Cushman, A. Sharma, and R. Lindrooth.
  3. Blockchain technology in the chemical industry: machine-to-machine…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-178.pdf
    1 May 2019: URL https://storj.io/. Date accessed: 14.11.2016. [16] Foundations for the Next Economic Revolution: Distributed Exchange and theInternet of Things, November 2016. ... Bitcoin users are an example of the aforementioned economic set. For
  4. Knowledge Engineering in Chemistry: From Expert Systems to Agents of…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-300.pdf
    5 Dec 2022: Narayanan, A. Patterson, and J. Taylor. Industry-scaleknowledge graphs: Lessons and challenges: Five diverse technology companiesshow how it’s done.
  5. A c4e preprint by the Computational Modelling Group

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-174.pdf
    1 May 2019: It quantifies CO2emissions based on an economic input-output life cycle assessment(EIO-LCA) modelthat was built by a team at Carnegie Mellon University [33]. ... Costello, and H. Matthews. The 2002 USbenchmark version of the economic input-output life
  6. Exploiting arbitrage opportunities on commodity futures market as a…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-203.pdf
    1 May 2019: performing economic evaluation,. • improving equipment design and performance. Aspen HYSYS V8.8. ... European Review of Agriculture Economics, 31(3):235–272,sep 2004. ISSN 1464-3618. doi:10.1093/erae/31.3.235. [16] J.
  7. A c4e preprint by the Computational Modelling Group

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-184.pdf
    1 May 2019: PatternAnalysis and Machine Intelligence, 20(8):832–844, 1998. [29] C. Hoffman. The Industrial Ecology of Small and Intermediate-sized TechnicalCompanies: Implications for Regional Economic Development. ... Program on theRole of Growth Centers in
  8. A c4e preprint by the Computational Modelling Group

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-221.pdf
    1 May 2019: Thiscombined with the ease of capacity additions and fewer operational components enhancethe economic performance of an SMR significantly [7]. ... Economic features of integral, modular, small-to-medium size reactors. Progress in Nuclear Energy,
  9. OntoPowerSys: A Power Systems Ontology for Cross Domain Interactions…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-230.pdf
    4 Jun 2019: This has necessitated a shift towardsa framework wherein economic growth and environmental preservation can go hand inhand [30]. ... An EIP is a cluster of manufacturing and servicebusinesses seeking enhanced environmental and economic performance.
  10. The future of computational modelling in reaction engineering

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-84.pdf
    1 May 2019: Real economic decisions canbe made by companies on the basis of reliable, comprehensive, and cheap models.
  11. A c4e preprint by the Computational Modelling Group

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-165.pdf
    1 May 2019: This drastically changes the economics of providing laboratoryexperiments to students and, potentially, a huge number of experiments can be availablefor use, including experiments on expensive equipment, rare materials and at remote
  12. Semantic City Planning Systems (SCPS): A Literature Review

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-270.pdf
    19 Apr 2021: Planning developed hand-in-hand with new socialscientific, statistical and cartographic techniques needed to empirically record the varioussocial, economic and physical aspects of rapidly growing cities [66, 68, 140]. ... Forrester suggested to look at
  13. Breakdown of British Wind Curtailment using a Multi-Source Knowledge…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-304.pdf
    24 Apr 2023: This transition has been paired with a variety of unique technical,economic, and policy challenges for onshore and offshore wind [3, 49]. ... From an economic perspective, these theoutput of wind farms would be better considered within onshore or
  14. J-Park Simulator: An ontology-based platform for cross-domain…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-222.pdf
    1 May 2019: Aspects of theresearch roadmap in application scenarios. Federal Ministry for Economic Affairsand Energy, Tech. ... A novel methodology for the design of waste heat recovery networkin eco-industrial park using techno-economic analysis and multi-objective
  15. Investigation of the impact of the configuration of exhaust…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-228.pdf
    29 May 2019: Depending on the economic analysis, it may be preferable to have a “SCR-front”system, where the performance of the SCR is better, at the expense of suppressing passiveregeneration in the
  16. A c4e preprint by the Computational Modelling Group

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-189.pdf
    1 May 2019: The concept represents a performance mea-sure for the evaluation. Evaluation in the perspective of economics and environment areconsidered at current stage. ... Product Product denotes for an economic goods or service. 4.2 Ontological representation of
  17. A Parallel World Framework for Scenario Analysis in Knowledge Graphs

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-249.pdf
    18 Feb 2020: Modular Re-actors (SMR) makes sense from the economic point of view. ... economic analysis and policy testing. • design phase. • retrofitting and installation.
  18. Resolving conflicting parameter estimates in multivariate population…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-82.pdf
    1 May 2019: A. M. Kuipers. Building population balance model for fluidized bed melt gran-ulation: lessons from kinetic theory of granular flow.
  19. Improved methodology for performing the inverse Abel transform of…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-217.pdf
    1 May 2019: No expensiveequipment is required, making pyrometry an economic and rapid method to obtain 2Dsoot temperature and volume fraction data.
  20. A multi-scale cross-domain thermochemical knowledge-graph

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-257.pdf
    10 Jul 2020: A multi-scale cross-domain thermochemical knowledge-graph. Preprint Cambridge Centre for Computational Chemical Engineering ISSN 1473 – 4273. A multi-scale cross-domain thermochemicalknowledge-graph. Sebastian Mosbach 1,2, Angiras Menon 1, Feroz
  21. Semantic 3D City Agents – an intelligent automation for Dynamic…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-283.pdf
    8 Nov 2021: There is no easy way to learn lessons from such static models thatremove historical aspect and, because of that, do not allow to get insights about evolution,stagnation or deterioration of
  22. A Smart Contract-based agent marketplace for the J-Park Simulator – a …

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-240.pdf
    19 Sep 2019: A Smart Contract-based agent marketplace for the J-Park Simulator – a Knowledge Graph for the process industry. Preprint Cambridge Centre for Computational Chemical Engineering ISSN 1473 – 4273. A Smart Contract-based agent marketplace forthe
  23. On the parameterisation of process flow sheet models

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-166.pdf
    1 May 2019: performing economic evaluation,. • improving equipment design and performance. The software was used to simulate the process described in Section 2.2.
  24. Dynamic polarity of curved aromatic soot precursors Preprint…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-220.pdf
    1 May 2019: 69]. For the AIMD simulation used in this study a more economic level of theory, B97D/6-31G(d), was used.
  25. Lifting a buried object: reverse hopper theory

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-129.pdf
    1 May 2019: This phenomenon is one of the key failure modes of such pipelinesand has serious economic and environmental consequences [8].
  26. ElChemo: A Cross-Domain Interoperability in a Chemical Plant Preprint …

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-265.pdf
    20 Jan 2021: The results indicate that the proposed approachcan achieve significant economic benefits.
  27. A c4e preprint by the Computational Modelling Group

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-170.pdf
    1 May 2019: Development of a multi-compartment population balance model for high-shear wet granulation with Discrete Element Method. Preprint Cambridge Centre for Computational Chemical Engineering ISSN 1473 – 4273. Development of a multi-compartment
  28. Semantic 3D City Database – an enabler for a dynamic geospatial…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-273.pdf
    1 Jun 2021: en/economic-atlas/download-portal/ for thepurpose of building this proof of concept.
  29. New polycyclic aromatic hydrocarbon (PAH) surface processes to…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-69.pdf
    1 May 2019: Cambridge Centre for ComputationalChemical Engineering. University of CambridgeDepartment of Chemical Engineering. Preprint ISSN 1473 – 4273. New polycyclic aromatic hydrocarbon (PAH) surfaceprocesses to improve the model prediction of the.
  30. The effect of poly(oxymethylene) dimethyl ethers (PODE3) on soot…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-255.pdf
    14 May 2020: The effect of poly(oxymethylene) dimethyl ethers (PODE3 ) on soot formation in ethylene/PODE3 laminar coflow diffusion flames. Preprint Cambridge Centre for Computational Chemical Engineering ISSN 1473 – 4273. The effect of poly(oxymethylene)
  31. Multi-criteria site selection using an ontology: the OntoZoning…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-295.pdf
    20 May 2022: Data used in urban planning are notoriously diverse, since planning deals with a broadrange of issues related to domains such as transportation, environmental sustainability,economics, public health and general quality of
  32. Learning based Evolutionary Assitive Paradigm for Surrogate Selection …

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-197.pdf
    1 May 2019: Learning based Evolutionary Assistive Paradigm for Surrogate Selection (LEAPS2). Preprint Cambridge Centre for Computational Chemical Engineering ISSN 1473 – 4273. Learning based Evolutionary Assistive Paradigmfor Surrogate Selection (LEAPS2).
  33. Optical band gap of cross-linked, curved, and radical polyaromatic ...

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-225.pdf
    1 May 2019: These were chosen to cover theflat, cross-linked and pentagonal categories and are economic enough for timely TD-DFTcalculations.
  34. Structural effects of C3 oxygenated fuels on soot formation in…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-261.pdf
    11 Nov 2020: Structural effects of C3 oxygenated fuels on soot formation in ethylene coflow diffusion flames. Preprint Cambridge Centre for Computational Chemical Engineering ISSN 1473 – 4273. Structural effects of C3 oxygenated fuels on sootformation in
  35. From Platform to Knowledge Graph: Evolution of Laboratory Automation

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-284.pdf
    10 Nov 2021: From Platform to Knowledge Graph: Evolution of Laboratory Automation. Preprint Cambridge Centre for Computational Chemical Engineering ISSN 1473 – 4273. From Platform to Knowledge Graph: Evolutionof Laboratory Automation. Jiaru Bai 1,†, Liwei
  36. From Platform to Knowledge Graph: Distributed Self-Driving…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-310.pdf
    23 Jun 2023: In developing chemical ontologies for SDLs, we draw upon the lessons learnt in creat-ing ontologies for chemical plants.
  37. 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
  38. Design of Computer Experiments: A Review

    https://como.ceb.cam.ac.uk/media/preprints/c4e-Preprint-182.pdf
    1 May 2019: Others include Chemical En-gineering, Decision Sciences, Energy, Neuroscience, Pharmacology, Toxicol-ogy and Pharmaceutics, Health Professions, Psychology, Business, Manage-ment and Accounting, Immunology and Microbiology, Arts and Humanities,Nursing
  39. Blockchain Technology in the Chemical Industry

    https://como.ceb.cam.ac.uk/media/preprints/c4e_mk306_blockchain_Annual_Review.pdf
    7 Oct 2021: Blockchain Technology in the Chemical Industry. Preprint Cambridge Centre for Computational Chemical Engineering ISSN 1473 – 4273. Blockchain Technology in the Chemical Industry. Xiaochi Zhou 1, Markus Kraft 1,2,3. released: October 7, 2021. 1

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