Sentence examples for use of computational materials from inspiring English sources

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Examples are provided to emphasize the importance and necessity of integrating materials and processes design with product attributes and for the use of computational materials science tools to ensure the successful insertion of new technologies.

Nevertheless, a focus on cost-effectiveness and the compression of product development time by effectively integrating design with manufacturing in these applications, as well as those emerging in bioengineering, has driven research in recent decades towards a greater predictive capability through the use of computational materials engineering tools.

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In the field of Computational Materials Science, Pizzi et al.

On the use of CML in computational materials research - Martin Dove [14].

In research published earlier this year in the Proceedings of the National Academy of Sciences, a group of MIT researchers used computational materials science techniques to decode for the first time the three-dimensional structure of the basic unit of calcium-silicate-hydrate (CSH) — the paste that forms and quickly hardens when cement powder is mixed with water.

The multiple scales, diversity, and dynamics inherent to biological systems and materials necessitate the use of computational methods to help manage this complexity.

Like so many sciences, molecular biology and genetics are being transformed by the use of computational tools.

We also invite synthetic papers that make use of computational and other approaches to formal modeling.

The impact of recent advances in instrumentation and computational materials science and their use in concrete research is discussed.

Dr. Blum's research focuses on "first-principles" computational materials science: using the fundamental laws of quantum mechanics to predict the properties of real materials from the atomic scale on upwards.

Blum's research focuses on "first-principles" computational materials science: using the fundamental laws of quantum mechanics to predict the properties of real materials from the atomic scale on upwards.

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