Sentence examples for material predictions from inspiring English sources

The phrase "material predictions" is correct and usable in written English
It can be used in contexts related to forecasts or estimations that are based on tangible or substantial data. Example: "The researchers made material predictions about the impact of climate change on local ecosystems."

Exact(3)

Multiphase material predictions for frequency agree quite well with layered materials for the problem that is studied.

These gains in speed and reproducibility are particularly important as the rapidly growing field of materials modeling continues to yield ab initio magnetic material predictions that demand experimental verification.

RF's mtry parameter was optimized using multiple replicates of 5-fold cross validation and parent material predictions were made for the region.

Similar(57)

In this paper, different models for subsequent material prediction of sheared woven fabric composites are considered and validation results for several analytical meso-modeling strategies of stiffness properties for such fabrics are demonstrated.

To characterize the plastic deformation behaviors of the two materials, predictions of cone indentation are compared.

For both materials, predictions of multicomponent adsorption based on the steric mass action model were in good agreement with experimental results indicating that the different variants bind in competition with each other.

PHYSICS Marvin L. Cohen of the University of California Berkeley For theoretical studies of solid materials, prediction of their properties, and especially for the empirical pseudo potential method.

Post-yield material behaviour predictions from such analysis are found to be in very good agreement with the initial finite element material input.

Both the orientation state reconstruction accuracy and the effective material properties prediction accuracy are investigated.

This includes fatigue as a material phenomenon, prediction models for fatigue properties of structures, and load spectra.

Then, the current research status is reviewed with regard to applications of machine learning in material property prediction, in new materials discovery and for other purposes.

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