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Deep learning of crystalline defects from TEM images: a solution for the problem of ‘never enough training data’

Research article (Machine Learning Science and Technology, 2024) · cited 15× · AI/ML
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Deep learning of crystalline defects from TEM images: a solution for the problem of ‘never enough training data’

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Deep learning of crystalline defects from TEM images: a solution for the problem of ‘never enough training data’ is a scholarly article[1].

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  • Deep learning of crystalline defects from TEM images: a solution for the problem of ‘never enough training data’'s instance of is recorded as scholarly article[2].

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Stefan Sandfeld

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Deep learning of crystalline defects from TEM images: a solution for the problem of ‘never enough training data’. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-of-crystalline-defects-from-tem-images-a-solution-for-the-problem-of-never-enough-training-data
MLA “Deep learning of crystalline defects from TEM images: a solution for the problem of ‘never enough training data’.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-of-crystalline-defects-from-tem-images-a-solution-for-the-problem-of-never-enough-training-data.
BibTeX @misc{4ortxyz_deep-learning-of-crystalline-defects-from-tem-images-a-solution-for-the-problem-of-never-enough-training-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning of crystalline defects from TEM images: a solution for the problem of ‘never enough training data’}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-of-crystalline-defects-from-tem-images-a-solution-for-the-problem-of-never-enough-training-data}, note = {Accessed: 2026-05-24}}
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