· Contributors · Organizations · Search
Mixed Integer Neural Inverse Design
Research & Education
Full Conference Supporter
Exhibitor Additional Full Conference
Exhibitor Full Conference
This session WILL NOT be recorded.
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.