Your English writing platform
Discover LudwigSuggestions(1)
Exact(60)
The latter is capable of predicting the experimental collapse load and overall behaviour quite accurately.
The model is capable of predicting the experimentally observed enhanced hardening of small grain sized materials.
The proposed degradation model is capable of predicting the degradation index with high degree of accuracy.
The method is also capable of predicting the double azeotropy in binary mixtures.
The model is capable of predicting the microstructure, texture, and kinetics.
This method is capable of predicting the farfield noise from non-linear nearfield flow quantities.
An FEM simulation model capable of predicting the mechanical properties of future design variations is shown.
Thus, the model is capable of predicting the formation of radicals and of pollutants.
The model is capable of predicting the tensile strength of the bio-composite within 10% error.
The thermodynamic model is capable of predicting the quantity of precipitated asphaltene.
The material model is capable of predicting the instantaneous temperature and moisture distribution inside the material.
Write better and faster with AI suggestions while staying true to your unique style.
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