Dr. Mengnan Li is a computational scientist at Idaho National Laboratory, where she is a core developer of the MOOSE framework and work on the development and refinement of the MOOSE framework that powers diverse MOOSE-based applications (Bison, Griffin, SAM, etc.). She also works on multiphase flow modeling for molten salt reactors and she is leading the integration of large language models to accelerate complex multiphysics modeling and simulation under NEAMS program.

Her research expertise focuses on computational multiphase flow, reactive transport modeling for applications ranging from molten salt reactors to subsurface reservoirs. Her recent research interests includes leveraging artificial intelligence for engineering application to accelerate complex multiphysics modeling and simulation.

Before joining INL, she was a postdoctoral research associate at Oak Ridge National Laboratory, where she developed multi-species transport and surface deposition models of chemical vapor infiltration for additive manufacture application.

Mengnan Li holds a Ph.D. and master degree in nuclear engineering from North Carolina State University. She has published 20+ peer-reviewed journal papers and reports and has more 300 citations. She is an active contributor in open-source software community and developers of several popular open-source projects on Github.

Multiphase Flow, Bubble dynamics, Reactive transport modeling, Thermal hydraulic
Interface tracking method(e.g. level-set)
Large Language models
MOOSE