Reinforcement Learning based Carbon Nanotube Growth Automation

2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)(2021)

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摘要
Experimental research such as cell cultures and carbon nanotube (CNT) growth are largely governed by following predefined execution protocols with fine-tuned control of parameters. There are promising opportunities to apply reinforcement learning (RL), an established learning technique in the area of artificial intelligence, in order to automate CNT growth process and accelerate related scientific...
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关键词
Carbon Nanotube Growth,Reinforcement Learning,Material Properties
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