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Acacia J. Brunett

Principal Nuclear Engineer


Acacia Brunett’s research focuses on advanced reactor methods development, modeling and simulation, and technology transfer to industry. This includes advanced reactor safety analysis software development and qualification; passive system reliability and safety analysis for non-LWR designs; advanced reactor mechanistic source term methodology development and modeling and simulation; and dynamic probabilistic risk assessment (PRA) methods.
Acacia’s research interests include: broad deployment of artificial intelligence (AI)/machine learning (ML) methods in advanced reactor modeling and simulation for design and safety analysis; implementation of reactor technology-neutral neural networks and system reduction frameworks for expedited uncertainty quantification; and AI/ML-driven integration of low/higher-order simulation methods to address known modeling and simulation gaps in thermal hydraulic models. 

She holds a Ph.D. in Nuclear Engineering from The Ohio State University, an M.S. in Nuclear Engineering from The Ohio State University, and a B.S. in Engineering Physics from Juniata College.