AI replaces humans in identifying causes of fuel cell malfunctions

Dr. Chi-Young Jung's research team from the Hydrogen Research & Demonstration Center at the Korea Institute of Energy Research (KIER) has successfully developed a method to analyze the microstructure of carbon fiber paper, a key material in hydrogen fuel cells, at a speed 100 times faster than existing methods. This was achieved by utilizing digital twin technology and artificial intelligence (AI) learning.

from Energy & Green Tech News - Energy Sciences News, Green Tech, Energy, Energy Science https://ift.tt/3bGiZLI

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