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Such simulations are still experimental.
However, temporal and spatial scales of DDD simulations are still limited.
The heat recovery efficiency values adopted in the simulations are still ε = 0.6 and 0.8.
However, kinetic simulations are still too computationally intensive for many large scale 3D simulations.
However, even with modern computer power, such computer simulations are still extremely time and resource consuming.
However, MD simulations are still challenging to capture the reaction or conversion process of pseudocapacitance, owing to the lack of accurate reactive force field potentials.
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As shown by Figure 6c, the agreement between analysis and simulations is still good also in terms of TE.
Note that the application of any proposed parametrizations to actual model simulations is still affected by large uncertainties.
The integration of sedimentary heterogeneity in flow simulations is still a challenging issue in reservoir engineering modelling.
While the Protein Data Bank [3] is very useful as a central repository for structural data, the number of repositories for biomolecular simulations is still very limited.
Despite the significant benefits in learning outcomes highlighted in this paper, the high cost of designing games and simulations is still a significant challenge.
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