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The uranium system has been modelled by simulating the dissolution of uraninite along the flowpaths investigated.
To obtain the optimal technical parameters, such as cutting height and drum diameter, a virtual longwall mining procedure was modelled by simulating the actual fully mechanized longwall mining process.
Following the approach of Schwarzer's et al. [ 28], the event rate for the intervention and control arms is modelled by simulating the average event probability of the treatment and control trial arms.
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We compare the proposed modelling concept with simple cells-in-series models by simulating catalyst yields, particle size distributions and catalyst transitions using two model catalysts with different activity profiles.
Finally, we illustrate the capabilities of LB models by simulating multicellular self-assembly in bioprinted microtissues.
We validate our model by simulating the world record multicrystalline silicon solar cell.
We validated our integrated model by simulating a two-phase separation process and gas liquid solid three-phase contact angle.
March [7] examined the E-E model by simulating how the mutual learning affected the balance under different conditions.
Deep learning aims at building a deep neural network model by simulating the learning process of brain.
The second one reconstructs the rock model by simulating the diagenetic process of sedimentary rock, like compaction and cementation.
Furthermore, we validated the models using the plant data and demonstrated the application of our dynamic model by simulating a grade change.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com