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This will be demonstrated in the following.
This will be demonstrated by (Ti1−xAlx N/a-Si3N4 nanocomposite coatings.
This will be demonstrated for Python, an interpreted object-oriented high-level language that is well suited for scientific computing.
This will be demonstrated on the case of branched polymers, for which DPD correctly predicts the cloud point pressure lowering experimentally observed.
This will be demonstrated both from a historical point of view and from the author's personal experiences and interest in crystal growth fundamentals, particularly the morphology of crystals.
This will be demonstrated by the evaluation of GITT diffusion coefficients from numerically generated GITT experiments calculated with a constant chemical diffusion coefficient on the example of a spinel-type LiMn2O4 electrode.
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This concept will be demonstrated at the hand of functional ISA systems.
This method will be demonstrated on two thermally morphing structures, a rigidly fixed hexapod in multiple geometric configurations and a low mass anisotropic morphing boom.
The possible role of hydrogen fuel cells in fulfilling this target will be demonstrated and the success stories of the leading countries will be given.
This approach will be demonstrated in Example 1.
This mechanism will be demonstrated further via transient photoconductivity measurements.
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