A collaboration between: The University of Delaware and GE Vernova Advanced Research
July 2026 – GE Vernova Advanced Research will collaborate with the University of Delaware to develop and evaluate an AI-driven framework for manufacturing fiber-reinforced polymer composites. The goal is to integrate sensors, real-time process monitoring, material characterization data, machine learning models, and simulations to drive production efficiency and reliability of large-scale composite structures across various materials and manufacturing processes. Referred to as the AI-Driven Closed Loop Digital Twin for Real-Time Monitoring and Autonomous Adaptive Control of Resin Flow and Cure in Composite Manufacturing project, Advanced Research will contribute its expertise in digital twin technology; provide realistic, context‑specific manufacturing scenarios; capture process performance metrics to drive process improvements; and provide guidance on industry technical requirements.
This nine-month project is among the first cohort of awards supported by the Genesis Mission, a national initiative harnessing AI to drive scientific innovation and accelerate breakthroughs in energy, discovery science, national security, and beyond. The Genesis RFA received tremendous response from the scientific community with more than 5,000 proposal submissions; just 278 were awarded. In addition to funding, Genesis Mission awardees gain access to the Genesis Mission Platform, including AI agent frameworks, advanced AI models and software provided by industry collaborators, and high-performance computing (HPC) resources across DOE’s National Laboratories and partner facilities.
“GE Vernova Advanced Research has decades of experience advancing manufacturing processes through the integration of digital twin technology and rigorous process control. We are excited to work with the University of Delaware to create a predictive, controlled environment that addresses the challenges of manufacturing fiber-reinforced polymer composites,” said Senior Engineer Nikky Pathak, who also serves as the project lead for GE Vernova. “This project has the potential to change how we manufacture large-scale composite structures through the creation a framework that predicts outcomes and autonomously adapts to changing conditions.
More Information
- Secretary of Energy Chris Wright Announces First Genesis Mission Projects Selected to Accelerate AI-Driven Scientific Discovery
- Energy Department Launches ‘Genesis Mission’ to Transform American Science and Innovation Through the AI Computing Revolution
GE Vernova Advanced Research Contact
- Nikky Pathak (PI) – nikky.pathak@gevernova.com