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Semantic 3D City Agents – an intelligent automation for Dynamic…
https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-283.pdf8 Nov 2021: A City Import Agent – UML Activity Diagram 24. B City Export Agent – UML Activity Diagram 25. ... It also uses two BlockingQueues form Java Col-lections Framework [24] in order to facilitate concurrent information exchange betweenthe tasks. -
From Platform to Knowledge Graph: Evolution of Laboratory Automation
https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-284.pdf10 Nov 2021: Since then,considerable advances have been made to expand the potentialities of such a tool, cover-ing the field of chemical reactions [24, 25], drug discovery [130], and material discoveryfor clean ... 13] and Coley et al. [24]. In this section, we -
Defining archetypes of mixed-use developments for improved urban…
https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-285.pdf15 Nov 2021: 23. 6.2 Impacts on early stage master-planning. 24. 2. 6.3 Potential impacts of the ontoMixedUseZoning ontology. ... re. flori. st. #10377 1.6 84,826 1 7 104 9 1 3 2 24. -
Sustainable operation of district heating systems using dynamic…
https://como.ceb.cam.ac.uk/media/preprints/c4e_mh807_generation_optimisation.pdf6 Jul 2021: 21. 5.2 Forecasting Results. 22. 5.3 Optimisation Results. 24. 6 Conclusions 28. -
Blockchain Technology in the Chemical Industry
https://como.ceb.cam.ac.uk/media/preprints/c4e_mk306_blockchain_Annual_Review.pdf7 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 -
Predicting power conversion efficiency of organic photovoltaics:…
https://como.ceb.cam.ac.uk/media/preprints/c4e_preprint_268_osc.pdf23 Feb 2021: large and standardizeddatasets with controllable and known degrees of freedom [24], but these PCEs correlatepoorly to experimental measurements which can undermine their utility. ... manual grid-search approach, resulting in 24 trials performed. -
The role of oxygenated species in the growth of graphene, fullerenes…
https://como.ceb.cam.ac.uk/media/preprints/Preprint269.pdf12 Apr 2021: 24. A.2.2 Computational performance. 25. A.3 Kinetic Monte Carlo model details. ... These are commonly known as KMC models. These modelshave been used to study the growth of graphene sheets [24, 102, 103], the formation ofcarbonaceous particles [76, 105] -
Radial dependence of TiO2 nanoparticles synthesised in jet-wall…
https://como.ceb.cam.ac.uk/media/preprints/preprint272.pdf28 Apr 2021: Primary Particle Aggregate Particle. Reference φ TTIP Median GSD Median GSDppm nm - nm -. This work 0.35 280 6.1 1.34 6.0 1.44560 7.8 1.24 -
How does blending oxygenated fuels affect soot formation from Jet A2…
https://como.ceb.cam.ac.uk/media/preprints/YRT23_PREPRINT_Kerosene_OxFuels_5.pdf6 Jul 2021: The structure of the molecules [33, 38, 73], bond saturation [32], oxy-gen content [24, 60] and the oxygen-containing functional groups [32, 38, 73] have allbeen shown to influence the ... A1.2 Fuel consumption rates. Table A1.2 shows the rate of fuel -
Microsoft PowerPoint - CombChem_Martin
https://como.ceb.cam.ac.uk/media/presentations/Molecular_Insights_into_carbonaceous_nanoparticle_formation_in_flames_MARTIN.pdf5 Dec 2020: Diradicaloids. Bendikov, Michael, et al. Journal of the American Chemical Society 126.24 (2004): 7416-7417. ... PascazioAngiras Menon. Dingyu Hou Xiaoqing You. Jacob W. MARTIN 24. Reactive localized π-radicals on rim-based pentagonal rings: properties
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