A DATA-DRIVEN STRATEGY FOR PHASE FIELD NUCLEATION MODELING

A data-driven strategy for phase field nucleation modeling

Abstract We propose a data-driven strategy for parameter selection in phase field nucleation models using machine Resistance Cable learning and apply it to oxide nucleation in Fe-Cr alloys.A grand potential-based phase field model, incorporating Langevin noise, is employed to simulate oxide nucleation and benchmarked against the Johnson-Mehl-Avrami

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From social adversity to sympathy for violent radicalization: the role of depression, religiosity and social support

Abstract Background Discrepancies Soccer - Socks among studies suggest that the relation between social adversity and sympathy for violent radicalization (SVR) is multifaceted and may differ according to social context.This paper examines the role of depression, religiosity and social support in the relation between social adversity (i.e., discrimi

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