A collaboration between: GE Vernova Advanced Research, GE Vernova Grid Software, Pacific Northwest National Laboratory (PNNL), Georgia Institute of Technology
October 2026 – GE Vernova Advanced Research is leading the development of a Dynamic Grid Foundational Model (DynaGridFM) with the purpose of transforming grid operations by providing rapid, trustworthy, and proactive decision support for orchestrating a flexible and hybrid AC/DC transmission grid with various inverter-based resources.
Grid Foundation Model from Research to Reality: Genesis Mission Phase II
Leveraging AI to Reduce Nuclear Reactor Deployment Times and Operating Costs
Creating a Surrogate Modeling Workflow to Reduce the Design Cycle Time of Wide-Bandgap Power Modules
Leveraging AI to Manufacture High-Performance Magnets
A collaboration between: Rensselaer Polytechnic Institute (RPI), GE Vernova Advanced Research, and Ames National Laboratory
July 2026 – GE Vernova Advanced Research will lend its expertise in artificial intelligence, machine learning (AI/ML), and advanced manufacturing methods as a collaborator with Ames National Laboratory in a newly funded project led by Rensselaer Polytechnic Institute (RPI).
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Developing and Evaluating an AI-Driven Framework for Manufacturing Fiber-Reinforced Polymer Composites
Transforming Rotating Machinery Blade Design with AI
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Expert Vision: How a GE Vernova Engineer Uses AI to See the Invisible
As the global energy transition accelerates, maintaining the long-term stamina of critical infrastructure like wind turbines requires being able to spot hidden risks before they can become failures. Proactively protecting these systems means uninterrupted energy for neighborhoods, smarter and safer environments for inspectors, and lower operational costs.
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Modeling the Energy Transition: How Engineer Melanie Li Sing How Tackles Tomorrow’s Challenges
Meeting the urgent challenge of the global energy transition requires solving massive infrastructure hurdles at unprecedented speed. It means mastering the invisible forces that dictate performance: the airflow around wind turbine blades, the effect of moisture trapped inside a power transformer, the change of phase from liquid to gas within a small modular nuclear reactor.
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