The phrase "and predict the evolution" is correct and usable in written English.
It can be used in contexts where you are discussing forecasting or anticipating changes or developments in a particular field or subject.
Example: "We need to analyze the current trends and predict the evolution of the market over the next few years."
Alternatives: "and forecast the development" or "and anticipate the progression".
The aim of this study is to understand and predict the evolution of the micro-geometry in the first few over-rolling cycles.
For this reason, we have chosen a neural network approach to simulate and predict the evolution of these prices in the U.S. market.
This thermal degradation is an important element to evaluate the fire behavior and predict the evolution of smoke emitted during an accidental fire for building application.
The development of models allows us to estimate and predict the evolution and behavior of electricity consumption in this sector as well as its end-uses.
For each case, information was obtained that could be used to understand and predict the evolution of ambient variables that impact thermal comfort and energy consumption in buildings.
Then the computed pressure distribution is introduced into the new constructed chemical kinetics formula to determine the local removal rate of the underlying patterns and predict the evolution of the wafer surface topography.
This model is capable of explaining and predicting the evolution of nanotube populations as a function of kinetic parameters.
This type of model tracks grain orientation and predicts the evolution of sub-grains on an element by element basis during deformation of a polycrystal.
Finally, aiming at reliability-related decision-making and predicting the evolution behavior of a system, we report the relations of the reliability characteristics during the improvement phase to those of the steady service phase.
It was concluded that the dislocation density-based constitutive model is well placed as a tool for describing and predicting the evolution of microstructure during severe plastic deformation, particularly HPT, using the finite element method.
The surrogate model is trained using a few runs of high-fidelity 3D simulations and predicts the evolution of a non-planar crack front under a given multi-axial, variable amplitude load history.
