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.

A collaboration between: Brookhaven National Laboratory (prime), GE Vernova Advanced Research, and more than 25 industry, academia, and government institutions 
 

A collaboration between: Idaho National Laboratory (prime) and 32 industry, academia, and government institutions, including GE Vernova Advanced Research and GE Vernova Hitachi Nuclear Energy
 

A collaboration between: Stony Brook University, GE Vernova Advanced Research, and Sandia National Laboratories

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).

A collaboration between: The University of Delaware and GE Vernova Advanced Research

A collaboration between: GE Vernova Advanced Research, Massachusetts Institute of Technology (MIT), University of Maryland College Park

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.