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'property prediction' is a correct and usable phrase in written English.
You can use it when you are referring to making predictions about real estate values and other aspects of property. For example, "Property prediction is a growing field for investors, as they use data to identify up-and-coming neighborhoods."
Exact(60)
CAMD technique is a reverse engineering approach which predicts the molecules with optimal properties using property prediction models.
However, there is a trade-off between the number of predictive compounds in the structure structure correlation and the error accumulation in the property prediction stage.
Molecular design approaches typically rely on simplified thermodynamic property prediction models to be computationally tractable.
Results show property prediction capability with reasonable accuracy except for prediction of carbon dioxide concentration.
Implications of this 'Chemscape' formulation for general molecular property prediction are discussed.
Thus, the effect of property prediction uncertainty has to be addressed while designing optimal products.
Standard deviation of a property prediction model is used to address the uncertainty of the model.
The linear structure structure correlation is used for property prediction and consistency analysis of property data.
However, it is noted that property prediction models are developed with certain accuracy and uncertainties.
This technique offers the advantage of an improved fluid property prediction over conventional black oil models.
Computational models using neural networks offer a very promising solution to the problem of polymer composite mechanical property prediction.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com