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A real-time deep learning model to narrow the gap between atomic scanning transmission electron microscopy and theory calculations: Recognition, reconstruction, and simulation

Crossref DOI link: https://doi.org/10.1557/s43577-024-00814-6

Published Online: 2024-12-10

Published Print: 2025-02

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Cheng, Danpeng

Sha, Wuxin

Guo, Yaqing

Tang, Shun

Zhong, Jun

Du, Jinqiao

Tian, Jie

Cao, Yuan-Cheng https://orcid.org/0000-0001-5790-8608
Funding

Funding for this research was provided by:

National Key R&D Program of China (2022YFB2404300)

National Natural Science Foundation of China (52107224, 52077096)
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Text and Data Mining valid from 2024-12-10

Version of Record valid from 2024-12-10
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Article History

Received: 7 July 2024

Revised: 30 September 2024

Accepted: 11 October 2024

First Online: 10 December 2024

Conflict of interest

: The authors declare no conflict of interest.

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