Data Science for an Improved Carbon-Capture Process
KeyLogic develops process simulation flowsheets and applies data science tools, such as uncertainty quantification, design of experiments, and ML, to help design better carbon-capture processes. Our work reduces the time and cost to maximize learning from experiments in pilot plants. In addition, we support the modeling and analysis of low viscosity, water-lean solvents with polarity swing regeneration that […]
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