Presentation

Mixed Integer Neural Inverse Design
SessionTechnical Papers
Authors
Navid Ansari
Hans-Peter Seidel
Vahid Babaei
Event Type
Technical Paper
Interest Areas
Research & Education
Presentation Types
Virtual
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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.
Authors
Navid Ansari
Max-Planck-Institut
Hans-Peter Seidel
Max-Planck-Institut
Vahid Babaei
Max-Planck-Institut