Sadaf Sobhani
Cornell University
ECF 2023 Quadchart Sobhani.pdf
With millions of theoretical ionic liquids (IL’s), traditional computational and experimental methods are prohibitive for identifying optimized IL’s for spacecraft thermal control. Dr. Sobhani will leverage machine learning to expedite the discovery of novel ionic liquids with specific thermal properties beyond the limits of known heat transfer fluids, thus pushing the boundaries of performance for state-of-the-art thermal control.
