The phrase "and predicting the evolution" is correct and usable in written English.
It can be used in contexts where you are discussing the act of forecasting or anticipating changes or developments over time, particularly in scientific, technological, or social contexts.
Example: "The researchers focused on analyzing current trends and predicting the evolution of climate patterns over the next decade."
Alternatives: "and forecasting the development" or "and anticipating the progression".
This model is capable of explaining and predicting the evolution of nanotube populations as a function of kinetic parameters.
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.
It is possible that we are facing the end of the effective life of most of available antibiotics and predicting the evolution and evolvability of our pathogens and devising strategies to slow or circumvent it is requiring deeper knowledge of the complex forces driving evolution at the molecular level.
Remote sensing was increasingly applied to analysing and predicting the evolution of disease epidemics.
The development of novel, non-invasive, fibrosis-specific biomarkers, reflecting morphological tissue changes at early stages and predicting the evolution of renal fibrosis, would be of great importance.
Then another challenge is developing a model that can incorporate new data and predict the evolution of the entire system.
The aim of this study is to understand and predict the evolution of the micro-geometry in the first few over-rolling cycles.
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.
For this reason, we have chosen a neural network approach to simulate and predict the evolution of these prices in the U.S. market.
