Event submissions
Published
This submission belongs to the session S4. Materials Theory, Simulations and AI of the event The 4th International Online Conference on Materials
Published date
29 Oct, 2025
Academic Editor
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Geo PaulCitation
Mohsin Sattar, Jan Hosek, Enhancing Predictive accuracy of a novel creep model for stainless steel-316 using AI-Driven Optimization and Machine Learning Methods, in Proceedings of The 4th International Online Conference on Materials, 3 November–6 November 2025, MDPI: Basel, Switzerland
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Enhancing Predictive accuracy of a novel creep model for stainless steel-316 using AI-Driven Optimization and Machine Learning Methods
Mohsin Sattar 1
Jan Hosek 1
1. Faculty of Mechanical Engineering, Department of Instrumentation and Control Engineering, Czech Technical University in Prague, Prague, Czech Republic
Abstract
Keywords
creep modelling
fracture mechanics
numerical simulation
finite element modelling