Presentation

Mixed Integer Neural Inverse Design
SessionRoundtable Session: Computational Design and Fabrication
Authors
Navid Ansari
Hans-Peter Seidel
Vahid Babaei
Event Type
Technical Paper
Keywords
Modeling
Interest Areas
Research & Education
Presentation Types
In Person
Registration Categories
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Exhibitor Additional Full Conference
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Recordings
This session WILL NOT be recorded.
TimeThursday, 11 August 202211:17am - 11:25am PDT
LocationEast Building, Ballroom A/B
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