Mukul Shukla

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...