The team replicated different patterns of materials and found arrangements that would let water through more easily.
Artificial intelligence has been found to be useful in the creation of water filter materials and can quicken the process involved in making them, according to aFrom daily household faucet attachments to room-sized industrial systems, filter systems are used in a variety of items. However, it is difficult for current filtration membranes to filter water if the water is extremely dirty or has small, neutral molecules, such as boric acid, an insecticide used on crop plants.
Shell and his team wanted to use artificial intelligence and computers to design the inside of a carbon nanotube pore to filter boric acid-containing water.The researchers mimicked a carbon nanotube channel with hydroxyl and/or methyl groups tied to each atom on the inner wall. Next, they designed and tested thousands of functional group patterns using AI, with optimization algorithms and machine learning, to assess how quickly water and boric acid would move through the pore.
The second finding was that water went through the pore nearly twice as fast as boric acid in the simulations.
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