Sentence examples for predictive material from inspiring English sources

Elasto-Delayed-Elastic-Viscous (EDEV), a predictive material model for 'quasi constant-structure' primary creep is used in developing an algorithm for predicting stress strain diagrams at constant strain rates.

The modelling and the codification of the behaviour of materials will always involve the use of such technological experiments, but it is of utmost importance to develop also a predictive material science.

We show that the use of uncertainties to trade-off exploration versus exploitation to guide new experiments or calculations generally leads to enhanced performance, highlighting the need to evaluate and incorporate errors in predictive materials design.

Predictive parent material maps were validated through comparisons with legacy soil survey maps and 307 field points.

With detailed knowledge of the mechanical properties of excipients and formulated powders, we improved the lead formulation by overcoming manufacturability deficiencies using predictive and material sparing (<10 g) approaches.

Here, we discuss the role of electronic coarse-graining in predictive multiscale materials modelling and describe the first implementation of the method in a general purpose molecular dynamics software: QDO_MD.

FCOXA21 is subsequently used to develop a direct compression tablet product using predictive and material-sparing powder characterization tools, that is, ring shear cell for powder flowability and compaction simulator for powder tabletability.

Considering the chemical space represented in the training set, it is unlikely that the model will be predictive for materials that do not have hydrocarbon pendant groups.

The theory of materials will thus continue to play a major role in advancing materials science, not only at the level of developing mathematical models describing the ever increasing complexity of materials but also in enabling predictive data-driven materials research.

The purpose of this study is to develop a methodology that identifies predictive correlation between material flow properties and feeder performance.

The mechanisms of the micro-channel formation process are discussed first, followed by the development of predictive models for material removal rate and the dimensions of the micro-channels produced.