Nanostructure quantification of turbostratic carbon by HRTEM image analysis: State of the art, biases, sensitivity and best practices

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Nanostructure quantification of turbostratic carbon by HRTEM image analysis: State of the art, biases, sensitivity and best practices

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Nanostructure quantification of turbostratic carbon by HRTEM image analysis: State of the art, biases, sensitivity and best practices is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Nanostructure quantification of turbostratic carbon by HRTEM image analysis: State of the art, biases, sensitivity and best practices. Retrieved May 24, 2026, from https://4ort.xyz/entity/nanostructure-quantification-of-turbostratic-carbon-by-hrtem-image-analysis-state-of-the-art-biases-sensitivity-and-best
MLA “Nanostructure quantification of turbostratic carbon by HRTEM image analysis: State of the art, biases, sensitivity and best practices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/nanostructure-quantification-of-turbostratic-carbon-by-hrtem-image-analysis-state-of-the-art-biases-sensitivity-and-best.
BibTeX @misc{4ortxyz_nanostructure-quantification-of-turbostratic-carbon-by-hrtem-image-analysis-state-of-the-art-biases-sensitivity-and-best_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Nanostructure quantification of turbostratic carbon by HRTEM image analysis: State of the art, biases, sensitivity and best practices}}, year = {2026}, url = {https://4ort.xyz/entity/nanostructure-quantification-of-turbostratic-carbon-by-hrtem-image-analysis-state-of-the-art-biases-sensitivity-and-best}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Nanostructure quantification of turbostratic carbon by HRTEM image analysis: State of the art, biases, sensitivity and best practices — https://4ort.xyz/entity/nanostructure-quantification-of-turbostratic-carbon-by-hrtem-image-analysis-state-of-the-art-biases-sensitivity-and-best (retrieved 2026-05-24)

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