South Korean scientists say their work could cut water, chemical and energy use while improving consistency and reducing waste
ULSAN - South Korean researchers say they have developed a machine learning framework capable of predicting sustainable textile dyeing outcomes with high confidence using only minimal experimental data.
Hyeokjun Cho and Seung Geol Lee, from the Ulsan National Institute of Science and Technology (UNIST), say their study could revolutionise dyeing processes, cutting water, chemical and energy use while enhancing consistency and reducing waste.
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