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Machine Learning in Thermodynamics: Prediction of Activity Coefficients by Matrix Completion
Activity coefficients, which are a measure of the non-ideality of liquid mixtures, are a key property in chemical engineering with relevance to modeling chemical and phase equilibria as well as transport processes.
Burstiness Scale: a highly parsimonious model for characterizing random series of events
From one side, the Poissonian processes, of which consecutive events follow each other at a relatively regular time and should not be correlated.
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