PICTS: A Novel Deep Reinforcement Learning Approach for Dynamic P-I Control in Scanning Probe Microscopy
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866910822099320832 |
|---|---|
| author | Wei, Ziwei Wei, Shuming Zeng, Qibin Lu, Wanheng Liu, Huajun Zeng, Kaiyang |
| author_facet | Wei, Ziwei Wei, Shuming Zeng, Qibin Lu, Wanheng Liu, Huajun Zeng, Kaiyang |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_07326 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | PICTS: A Novel Deep Reinforcement Learning Approach for Dynamic P-I Control in Scanning Probe Microscopy Wei, Ziwei Wei, Shuming Zeng, Qibin Lu, Wanheng Liu, Huajun Zeng, Kaiyang Materials Science Machine Learning Applied Physics 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. |
| title | PICTS: A Novel Deep Reinforcement Learning Approach for Dynamic P-I Control in Scanning Probe Microscopy |
| topic | Materials Science Machine Learning Applied Physics |
| url | https://arxiv.org/abs/2502.07326 |