Presentation

Mixed Integer Neural Inverse Design
SessionTechnical Papers
Event Type
Technical Paper
Research & Education
Virtual
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Full Conference
Virtual Conference Supporter
Virtual Conference
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DescriptionNeural networks are among the most common modeling surrogates, and their inversion is crucial to finding designs with desirable performances. We have reformulated and solved the neural inverse design problem as a mixed integer linear programming, which is capable of finding globally optimum designs and handling combinatorial design constraints.