Research Output per Year
Research Output per Year
Research Activity per Year
Hilary Egan's work focuses on leveraging applied artificial intelligence (AI) and computational science to address critical challenges across renewable energy domains. Key research areas include developing AI methods to connect high-performance computing simulations with experiments, improving the energy efficiency and grid integration of data centers, and advancing autonomous laboratory technologies.
Deep learning
High-performance computing
Multi-fidelity methods
Uncertainty quantification
Statistical inference
Differentiable simulations
Bachelor, Physics, Michigan State University
PhD, Astrophysics and Planetary Science, University of Colorado Boulder
Research output: NREL › Technical Report
Research output: NREL › Presentation
Research output: Contribution to conference › Paper
Research output: NREL › Presentation
Research output: NREL › Presentation