On September 30, 2022, Borredon, Claudia; Miccio, Luis A.; Phan, Anh D.; Schwartz, Gustavo A. published an article.Product Details of 118-55-8 The title of the article was Estimating glass transition temperature and related dynamics of molecular glass formers combining artificial neural networks and disordered systems theory. And the article contained the following:
Glass transition temperature and related dynamics play an essential role in amorphous materials research since many of their properties and functionalities depend on mol. mobility. However, the temperature dependence of the structural relaxation time for a given glass former is only exptl. accessible after synthesizing it, implying a time-consuming and costly process. In this work, we propose combining artificial neural networks and disordered systems theory to estimate the glass transition temperature and the temperature dependence of the main relaxation time based on the knowledge of the mol.’s chem. structure. This approach provides a way to assess the dynamics of mol. glass formers, with reasonable accuracy, even before synthesizing them. We expect this methodol. to boost industrial development, save time and resources, and accelerate the scientific understanding of structure-properties relationships. The experimental process involved the reaction of Phenyl Salicylate(cas: 118-55-8).Product Details of 118-55-8
The Article related to glass former transition temperature artificial neural network disordered theory, General Physical Chemistry: General Theories and other aspects.Product Details of 118-55-8
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