Deep learning for sub-ångström-resolution imaging in uncorrected scanning transmission electron microscopy.
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| Title: | Deep learning for sub-ångström-resolution imaging in uncorrected scanning transmission electron microscopy. |
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| Authors: | Qiu Z; School of Materials Science and Engineering, Peking University, Beijing 100871, China., Meng Y; School of Materials Science and Engineering, Peking University, Beijing 100871, China., Li J; School of Materials Science and Engineering, Peking University, Beijing 100871, China., Hong Y; DP Technology, Beijing 100080, China., Li N; School of Materials Science and Engineering, Peking University, Beijing 100871, China., Han X; School of Materials Science and Engineering, Peking University, Beijing 100871, China., Liang Y; School of Materials Science and Engineering, Peking University, Beijing 100871, China., Cheng WN; School of Materials Science and Engineering, Peking University, Beijing 100871, China., Ke G; DP Technology, Beijing 100080, China., Zhang L; DP Technology, Beijing 100080, China.; AI for Science Institute, Beijing 100084, China., E W; AI for Science Institute, Beijing 100084, China.; Center for Machine Learning Research, Peking University, Beijing 100871, China.; School of Mathematical Sciences, Peking University, Beijing 100871, China., Zhao X; School of Materials Science and Engineering, Peking University, Beijing 100871, China.; AI for Science Institute, Beijing 100084, China., Zhang J; School of Materials Science and Engineering, Peking University, Beijing 100871, China.; Center for Nanochemistry, Beijing Science and Engineering Center for Nanocarbons, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.; School of Advanced Materials, Peking University Shenzhen Graduate School, Shenzhen 518055, China. |
| Source: | National science review [Natl Sci Rev] 2025 Jun 05; Vol. 12 (8), pp. nwaf235. Date of Electronic Publication: 2025 Jun 05 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: China Science Publishing Country of Publication: China NLM ID: 101633095 Publication Model: eCollection Cited Medium: Internet ISSN: 2053-714X (Electronic) Linking ISSN: 2053714X NLM ISO Abbreviation: Natl Sci Rev Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2053-714X |
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| DOI: | 10.1093/nsr/nwaf235 |
