The GrapheneTX agency awarded Dr. Dong Qian $555,579 for his research on SBIR: Development of Data-driven Digital-twin Software DD-Cure for Carbon Fiber Composite Curing. This project intends to establish physics-based data-driven tools for process modeling of composite curing. Research tasks will include calibrating the process model’s parameters using the results of experiments, creating a machine learning model that predicts how the process parameters would influence the cure of composite materials, and then predicting property linkage between processes in another direction. In addition, this project also plans to combine an inverse prediction algorithm with a feedback control mechanism to improve the curing process and validate the computational framework for optimizations that have been developed. This research will provide benefits for mechanical engineering, and will be completed through a collaboration between GrapheneTX, Inc and the UTD team.