ArticleMaterials (Basel, Switzerland)2023
Arrhenius Crossover Temperature of Glass-Forming Liquids Predicted by an Artificial Neural Network.
Article in Materials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- On Crossover Temperatures of Viscous Flow Related to Structural Rearrangements in Liquids.Materials (Basel, Switzerland) · 2024Article
- Article
- NiTiMaterials (Basel, Switzerland) · 2023Article
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Authors and funding
3 authors.
Funding
Abstract
The Arrhenius crossover temperature, TA, corresponds to a thermodynamic state wherein the atomistic dynamics of a liquid becomes heterogeneous and cooperative; and the activation barrier of diffusion dynamics becomes temperature-dependent at temperatures below TA. The theoretical estimation of this temperature is difficult for some types of materials, especially silicates and borates. In these materials, self-diffusion as a function of the temperature
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Registered trials
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