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Combining crystal graphs and domain knowledge in machine learning to predict metal-organic frameworks performance in methane adsorption
Research article (Microporous and Mesoporous Materials, 2021) · cited 45× · AI/ML
Combining crystal graphs and domain knowledge in machine learning to predict metal-organic frameworks performance in methane adsorption
Summary
Combining crystal graphs and domain knowledge in machine learning to predict metal-organic frameworks performance in methane adsorption is a scholarly article[1].
Key Facts
Combining crystal graphs and domain knowledge in machine learning to predict metal-organic frameworks performance in methane adsorption's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Combining crystal graphs and domain knowledge in machine learning to predict metal-organic frameworks performance in methane adsorption. Retrieved May 24, 2026, from https://4ort.xyz/entity/combining-crystal-graphs-and-domain-knowledge-in-machine-learning-to-predict-metal-organic-frameworks-performance-in-met
MLA“Combining crystal graphs and domain knowledge in machine learning to predict metal-organic frameworks performance in methane adsorption.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/combining-crystal-graphs-and-domain-knowledge-in-machine-learning-to-predict-metal-organic-frameworks-performance-in-met.
BibTeX@misc{4ortxyz_combining-crystal-graphs-and-domain-knowledge-in-machine-learning-to-predict-metal-organic-frameworks-performance-in-met_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Combining crystal graphs and domain knowledge in machine learning to predict metal-organic frameworks performance in methane adsorption}}, year = {2026}, url = {https://4ort.xyz/entity/combining-crystal-graphs-and-domain-knowledge-in-machine-learning-to-predict-metal-organic-frameworks-performance-in-met}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Combining crystal graphs and domain knowledge in machine learning to predict metal-organic frameworks performance in methane adsorption — https://4ort.xyz/entity/combining-crystal-graphs-and-domain-knowledge-in-machine-learning-to-predict-metal-organic-frameworks-performance-in-met (retrieved 2026-05-24)
