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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.
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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  Data: Deep learning for sub-ångström-resolution imaging in uncorrected scanning transmission electron microscopy.
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  Data: <searchLink fieldCode="AU" term="%22Qiu+Z%22">Qiu Z</searchLink>; School of Materials Science and Engineering, Peking University, Beijing 100871, China.<br /><searchLink fieldCode="AU" term="%22Meng+Y%22">Meng Y</searchLink>; School of Materials Science and Engineering, Peking University, Beijing 100871, China.<br /><searchLink fieldCode="AU" term="%22Li+J%22">Li J</searchLink>; School of Materials Science and Engineering, Peking University, Beijing 100871, China.<br /><searchLink fieldCode="AU" term="%22Hong+Y%22">Hong Y</searchLink>; DP Technology, Beijing 100080, China.<br /><searchLink fieldCode="AU" term="%22Li+N%22">Li N</searchLink>; School of Materials Science and Engineering, Peking University, Beijing 100871, China.<br /><searchLink fieldCode="AU" term="%22Han+X%22">Han X</searchLink>; School of Materials Science and Engineering, Peking University, Beijing 100871, China.<br /><searchLink fieldCode="AU" term="%22Liang+Y%22">Liang Y</searchLink>; School of Materials Science and Engineering, Peking University, Beijing 100871, China.<br /><searchLink fieldCode="AU" term="%22Cheng+WN%22">Cheng WN</searchLink>; School of Materials Science and Engineering, Peking University, Beijing 100871, China.<br /><searchLink fieldCode="AU" term="%22Ke+G%22">Ke G</searchLink>; DP Technology, Beijing 100080, China.<br /><searchLink fieldCode="AU" term="%22Zhang+L%22">Zhang L</searchLink>; DP Technology, Beijing 100080, China.; AI for Science Institute, Beijing 100084, China.<br /><searchLink fieldCode="AU" term="%22E+W%22">E W</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Zhao+X%22">Zhao X</searchLink>; School of Materials Science and Engineering, Peking University, Beijing 100871, China.; AI for Science Institute, Beijing 100084, China.<br /><searchLink fieldCode="AU" term="%22Zhang+J%22">Zhang J</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%22101633095%22">National science review</searchLink> [Natl Sci Rev] 2025 Jun 05; Vol. 12 (8), pp. nwaf235. <i>Date of Electronic Publication: </i>2025 Jun 05 (<i>Print Publication: </i>2025).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22China+Science+Publishing%22">China Science Publishing </searchLink><i>Country of Publication: </i>China <i>NLM ID: </i>101633095 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2053-714X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222053714X%22">2053714X </searchLink><i>NLM ISO Abbreviation: </i>Natl Sci Rev <i>Subsets: </i>PubMed not MEDLINE
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              Text: 2025 Jun 05
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