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The presented algorithm is tested against a series of simulation challenges.
The paper focuses on several design challenges and how these translate into modelling and simulation challenges.
For example, agent-based thinking challenges could also be considered as modeling and simulation challenges, but specific to the agent-based modeling paradigm, we have employed in CTSiM.
Modeling and simulation challenges were associated with representing scientific concepts and processes as computational models and refining constructed models (partial or full) based on observed simulations.
The reasons for the lack of spreading in the trisiloxane case and the simulation challenges associated with these systems are discussed.
This paper explains the numerical simulation challenges, including temporary instabilities, local failure of materials, non-convergence and long simulation time, and proposes methods to resolve these challenges.
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The simulation challenged assumptions on roles and responsibilities.
The third industrial fluid properties simulation challenge was held from March to September 2006.
In order to make the simulation challenged, the targets moving space is corrupted with heavy clutter measurements as shown in Fig. 3, where each target is measured by four pairs of illuminators-receiver.
The need of a high performance CFD simulation to evaluate design accuracies involving subcooled boiling as a local high heat removal scheme makes the use of two-phase flow simulation challenging.
However, accurate ARF requires a substantial simulation of all parameter values, which are not always easily implemented in the simulations, e.g., the commonly used energy resolution model might not be useful for high-energy photons and the complex structure of the backscattering components makes the simulation challenging [36, 37].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com