Introduction
Abstract
The increased complexity of existing and emerging technologies has resulted from complicated interactions between process parameters, as well as intangible and hidden correlations. Hence, quantitatively defining the underlying root of a process safety phenomenon, or predicting the same scenario, requires a great deal of experience, extensive knowledge, and a structured approach. Experimentally validated multiscale modeling methodologies are powerful tools that have the potential to offer answers that are often expensive or unreachable through experiments. The significant rise of computational power in recent times, along with a better understanding of the physics, has led to implementation of higher-resolution ...
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