Establishing process-structure linkages using Generative Adversarial Networks

• URL: http://arxiv.org/abs/2107.09402v1
• Date: Tue, 20 Jul 2021 10:49:38 GMT
• Title: Establishing process-structure linkages using Generative Adversarial Networks
• Authors: Mohammad Safiuddin, CH Likith Reddy, Ganesh Vasantada, CHJNS Harsha, Srinu Gangolu
• Abstract summary: We develop a GAN (Generative Adversarial Network) to synthesize microstructures based on given processing conditions. Results show that our GAN model can produce high-fidelity multi-phase microstructures which have a good correlation with the given processing conditions.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The microstructure of material strongly influences its mechanical properties and the microstructure itself is influenced by the processing conditions. Thus, establishing a Process-Structure-Property relationship is a crucial task in material design and is of interest in many engineering applications. We develop a GAN (Generative Adversarial Network) to synthesize microstructures based on given processing conditions. This approach is devoid of feature engineering, needs little domain awareness, and can be applied to a wide variety of material systems. Results show that our GAN model can produce high-fidelity multi-phase microstructures which have a good correlation with the given processing conditions.

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