HIGHLIGHTS
- who: Bulat Galimzyanov and collaborators from the Institute of Physics, Kazan Federal University, Kazan, Russia have published the research: Arrhenius Crossover Temperature of Glass-Forming Liquids Predicted by an Artificial Neural Network, in the Journal: Materials 2023, 16, 1127. of /2023/
- what: The aim of this work was to establish the relationship between the Arrhenius crossover temperature TA and the physical properties of liquids directly related to their glass-forming ability. This model has one input layer with four neurons, for which the values of the melting temperature, the glass transition temperature, the ratio Tg . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.