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NSF
ISS: Predicting condensation and freezing behavior via a machine learning model
The goal of this research project is to experimentally investigate dropwise condensation and condensate freezing of water from the air on the international space station. It is hypothesized that the microgravity environment will affect both the droplet dynamics and freezing mechanisms due to the impact on heat transfer, humidity gradients, and crystal growth. This fundamental new insight into droplet dynamics and freezing couple with machine learning will enable new mechanistic models and the engineering of surfaces and process that can suppress or promote water collection and freezing to benefit life on Earth.
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