CX-029387: Improving the Curing Efficiency for Composite Aerostructures Through Multi-Task Optimization of a Physics-Informed Multiple Neural Network Framework

The U.S. Department of Energy (DOE) is proposing to provide funding to the Georgia Tech Research Corporation to develop and validate a framework intended to improve the efficiency of manufacturing composite aerostructures (for example, aircraft wing spars and wind turbine blades) through optimization of the composite curing process.