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Advanced machine learning techniques for predicting wear performance in graphene oxide particulate interpenetrating polymer network composites

Research article (Engineering Applications of Artificial Intelligence, 2025) · cited 13× · AI/ML
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Advanced machine learning techniques for predicting wear performance in graphene oxide particulate interpenetrating polymer network composites

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Advanced machine learning techniques for predicting wear performance in graphene oxide particulate interpenetrating polymer network composites is a scholarly article[1].

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  • Advanced machine learning techniques for predicting wear performance in graphene oxide particulate interpenetrating polymer network composites's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Advanced machine learning techniques for predicting wear performance in graphene oxide particulate interpenetrating polymer network composites. Retrieved May 24, 2026, from https://4ort.xyz/entity/advanced-machine-learning-techniques-for-predicting-wear-performance-in-graphene-oxide-particulate-interpenetrating-poly
MLA “Advanced machine learning techniques for predicting wear performance in graphene oxide particulate interpenetrating polymer network composites.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/advanced-machine-learning-techniques-for-predicting-wear-performance-in-graphene-oxide-particulate-interpenetrating-poly.
BibTeX @misc{4ortxyz_advanced-machine-learning-techniques-for-predicting-wear-performance-in-graphene-oxide-particulate-interpenetrating-poly_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Advanced machine learning techniques for predicting wear performance in graphene oxide particulate interpenetrating polymer network composites}}, year = {2026}, url = {https://4ort.xyz/entity/advanced-machine-learning-techniques-for-predicting-wear-performance-in-graphene-oxide-particulate-interpenetrating-poly}, note = {Accessed: 2026-05-24}}
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