Researchers from Kirin Holdings, FANCL Corp. and Keio University have created a system that can predict the makeup removal performance of cleansing agents.
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After simulating more than 100 mixtures, researchers identified a correlation between the actual cleansing rate and simulated results of how dirt is absorbed.
The method combines Kirin Holdings’ machine learning technology and Keio University’s molecular simulation technology. It was presented by FANCL and Keio University at the 32nd International IFSCC London Congress 2022, held in September.
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