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GANTL: Toward Practical and Real-Time Topology Optimization With Conditional Generative Adversarial Networks and Transfer Learning
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A number of machine learning methods have been recently proposed to circumvent the high computational cost of the gradient-based topology optimization solvers. By and large, these methods show tight generalizability to ...