Abstract

Ageing behaviors of metallic glasses are investigated by atomistic modeling in a broad range of processing histories and thermal conditions. By employing an enhanced data-mining analysis, a non-monotonic ageing phenomenon is resolved with high precision. It is observed that there exists a non-linear correlation between the system's metastability and the critical temperature where maximum ageing rate occurs. In further conjunction with the recently developed energy landscape theory to circumvent the time-scale limitations of molecular dynamics, the ageing rate contours over ten orders of magnitude are mapped out in the metastability-temperature space. Such map enables a natural explanation to the experimentally observed shift of exothermic signal, which cannot be provided by existing models. Implications of the present study for understanding the mechanical properties of amorphous alloys are also discussed.

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