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DeepSTEM: Deep-Learning-Based Object Function Reconstruction for In Situ STEM
Published online by Cambridge University Press: 22 July 2022
Abstract
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- Type
- Insights into Phase Transitions in Functional Materials by In Situ/Operando TEM: Experiment Meets Theory
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- Copyright
- Copyright © Microscopy Society of America 2022
References
Zhu, Y. et al. , Nano Res. 14 (2021), p. 1650–1658, doi: 10.1007/s12274-020-3034-zCrossRefGoogle Scholar
Lee, Y. et al. , ACS Omega 6 (2021), p. 21623-21630. doi: 10.1021/acsomega.1c03002CrossRefGoogle Scholar
Chen, J. et al. , Nanoscale 11 (2019), p. 1901-1913, doi: 10.1039/C8NR08821GCrossRefGoogle ScholarPubMed
This work was supported by the Institute for Basic Science (IBS-R019-D1).Google Scholar
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