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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