Malik Hassanaly

Malik Hassanaly

Researcher at NREL, Scientific Machine Learning, Turbulent Combustion Modeling, Computational Fluid Dynamics, Uncertainty Quantification

Reconstructing Atmospheric Initial Conditions from Synthetic Field Measurements for Turbine Model Validation through Denoising Diffusion Probabilistic Models

Published in 103rd AMS Meeting, 2023

Recommended citation: Rybchuk, Alex and Hassanaly, Malik and Martinez-Tossas, Luis A. and Hamilton, Nicholas and Fulton, Mitchell J. and Doubrawa, Paula (2023). "Reconstructing Atmospheric Initial Conditions from Synthetic Field Measurements for Turbine Model Validation through Denoising Diffusion Probabilistic Models." 103rd AMS Meeting.

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