PICTS: A Novel Deep Reinforcement Learning Approach for Dynamic P-I Control in Scanning Probe Microscopy

Huajun Liu; Kaiyang Zeng; Qibin Zeng; Shuming Wei; Wanheng Lu; Ziwei Wei

arxiv: 2502.07326 · v1 · pith:I5XHX6FR · submitted 2025-02-11 · cond-mat.mtrl-sci · cs.LG· physics.app-ph

PICTS: A Novel Deep Reinforcement Learning Approach for Dynamic P-I Control in Scanning Probe Microscopy

Ziwei Wei , Shuming Wei , Qibin Zeng , Wanheng Lu , Huajun Liu , Kaiyang Zeng This is my paper

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classification cond-mat.mtrl-sci cs.LGphysics.app-ph

keywords controldeeplearningmicroscopyprobereinforcementscanningadjust

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We have developed a Parallel Integrated Control and Training System, leveraging the deep reinforcement learning to dynamically adjust the control strategies in real time for scanning probe microscopy techniques.

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PICTS: A Novel Deep Reinforcement Learning Approach for Dynamic P-I Control in Scanning Probe Microscopy

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