New machine-learning simulations reduce energy need for mask fabrics, other materials

Making the countless numbers of N95 masks that have protected millions of Americans from COVID requires a process that not only demands attention to detail but also requires lots of energy. Many of the materials in these masks are produced by a technique called melt blowing, in which tiny plastic fibers are spun at high temperatures that necessitate the use of a lot of energy. The process is also used for other products like furnace filters, coffee filters and diapers.

from News on Artificial Intelligence and Machine Learning https://ift.tt/ZSnT13V

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