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Dec 10, 2022

Neural networks will help manufacture carbon nanotubes

Posted by in categories: biotech/medical, nanotechnology, robotics/AI

Thin films made of carbon nanotubes hold a lot of promise for advanced optoelectronics, energy and medicine, however with their manufacturing process subject to close supervision and stringent standardization requirements, they are unlikely to become ubiquitous anytime soon.

“A major hindrance to unlocking the vast potential of nanotubes is their multiphase which is extremely difficult to manage. We have suggested using (ANN) to analyze and predict the efficiency of single-walled carbon nanotubes synthesis,” explains one of the authors of the study and Skoltech researcher, Dmitry Krasnikov.

In their work published in the prestigious Carbon journal, the authors show that machine learning methods, and, in particular, ANN trained on experimental parameters, such as temperature, gas pressure and , can help monitor the properties of the carbon nanotube films produced.

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