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Exploiting redundancy in large materials datasets for efficient machine learning with less data

Research article (Nature Communications, 2023) · cited 95× · AI/ML
academia openalex:W4388567027
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Exploiting redundancy in large materials datasets for efficient machine learning with less data

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Exploiting redundancy in large materials datasets for efficient machine learning with less data is a scholarly article[1].

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  • Exploiting redundancy in large materials datasets for efficient machine learning with less data's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Exploiting redundancy in large materials datasets for efficient machine learning with less data. Retrieved May 24, 2026, from https://4ort.xyz/entity/exploiting-redundancy-in-large-materials-datasets-for-efficient-machine-learning-with-less-data
MLA “Exploiting redundancy in large materials datasets for efficient machine learning with less data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/exploiting-redundancy-in-large-materials-datasets-for-efficient-machine-learning-with-less-data.
BibTeX @misc{4ortxyz_exploiting-redundancy-in-large-materials-datasets-for-efficient-machine-learning-with-less-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Exploiting redundancy in large materials datasets for efficient machine learning with less data}}, year = {2026}, url = {https://4ort.xyz/entity/exploiting-redundancy-in-large-materials-datasets-for-efficient-machine-learning-with-less-data}, note = {Accessed: 2026-05-24}}
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