Home ›
Entities
› academia
› Predicting adsorption of aromatic compounds by carbon nanotubes based on quantitative structure property relationship principles
Predicting adsorption of aromatic compounds by carbon nanotubes based on quantitative structure property relationship principles
Research article (Journal of Molecular Structure, 2015) · cited 26× · AI/ML
Predicting adsorption of aromatic compounds by carbon nanotubes based on quantitative structure property relationship principles
Summary
Predicting adsorption of aromatic compounds by carbon nanotubes based on quantitative structure property relationship principles is a scholarly article[1].
Key Facts
Predicting adsorption of aromatic compounds by carbon nanotubes based on quantitative structure property relationship principles's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Predicting adsorption of aromatic compounds by carbon nanotubes based on quantitative structure property relationship principles. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-adsorption-of-aromatic-compounds-by-carbon-nanotubes-based-on-quantitative-structure-property-relationship-pr
MLA“Predicting adsorption of aromatic compounds by carbon nanotubes based on quantitative structure property relationship principles.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-adsorption-of-aromatic-compounds-by-carbon-nanotubes-based-on-quantitative-structure-property-relationship-pr.
BibTeX@misc{4ortxyz_predicting-adsorption-of-aromatic-compounds-by-carbon-nanotubes-based-on-quantitative-structure-property-relationship-pr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting adsorption of aromatic compounds by carbon nanotubes based on quantitative structure property relationship principles}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-adsorption-of-aromatic-compounds-by-carbon-nanotubes-based-on-quantitative-structure-property-relationship-pr}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting adsorption of aromatic compounds by carbon nanotubes based on quantitative structure property relationship principles — https://4ort.xyz/entity/predicting-adsorption-of-aromatic-compounds-by-carbon-nanotubes-based-on-quantitative-structure-property-relationship-pr (retrieved 2026-05-24)
