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H. Bhardwaj

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Open access Sep 2026

A multi-physics-informed neural network framework for dual prediction of creep residual life and damage fraction in austenitic stainless steels

Accurate prediction of creep degradation across multiple high-temperature alloy grades remains a significant challenge in structural integrity assessment. Classical empirical and mechanistic models are typically restricted to estimating total creep rupture life and are often material-specific, limiting their generaliza...

H. Bhardwaj, Mukul Shukla · 0 citations

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