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CANADIAN SOCIETY OF CLINICAL CHEMISTS LA SO CIT CANADIAN DES CLINICOCHIMISTES Vol. 52 No. 5October 2010RNA Preparation and Quality Analysis Challenges and Technologies The beginning At the time of
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Choose a suitable computer modelling software for materials.
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Define the parameters and properties of the material to be modelled.
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Create the model geometry and mesh it properly.
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Apply appropriate boundary conditions and loads to the model.
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Run the simulation and analyze the results to understand the behavior of the material.

Who needs computer modelling of materials?

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Researchers and scientists working in the field of materials science and engineering.
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Manufacturers interested in predicting the behavior of materials under various conditions to improve product quality.
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Computer modelling of materials is the use of computational techniques to simulate the properties and behaviors of materials at various scales, allowing for predictions about performance and functionality without the need for extensive physical testing.
Entities involved in the design, manufacturing, or research of materials that utilize computer modelling techniques are typically required to file documentation related to their computer modelling activities, including manufacturers, researchers, and regulatory bodies.
Filling out computer modelling of materials involves gathering relevant data, adhering to specified formats, and providing information about the modelling techniques used, the materials tested, and the outcomes of the modelling in a structured submission.
The purpose of computer modelling of materials is to enhance the understanding of material properties, optimize material design, predict performance in various conditions, and support innovation in material science by reducing the need for extensive physical experimentation.
Information that must be reported includes the type of materials used, the computational methods employed, results obtained from the modelling, assumptions made during the process, and any limitations or uncertainties associated with the models.
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