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Predicting adsorption and separation performance indicators of Xe/Kr in metal-organic frameworks via a precursor-based neural network model
Predicting adsorption and separation performance indicators of Xe/Kr in metal-organic frameworks via a precursor-based neural network model
Summary
Predicting adsorption and separation performance indicators of Xe/Kr in metal-organic frameworks via a precursor-based neural network model is a scholarly article[1].
Key Facts
Predicting adsorption and separation performance indicators of Xe/Kr in metal-organic frameworks via a precursor-based neural network model'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). Predicting adsorption and separation performance indicators of Xe/Kr in metal-organic frameworks via a precursor-based neural network model. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-adsorption-and-separation-performance-indicators-of-xe-kr-in-metal-organic-frameworks-via-a-precursor-based-n
MLA“Predicting adsorption and separation performance indicators of Xe/Kr in metal-organic frameworks via a precursor-based neural network model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-adsorption-and-separation-performance-indicators-of-xe-kr-in-metal-organic-frameworks-via-a-precursor-based-n.
BibTeX@misc{4ortxyz_predicting-adsorption-and-separation-performance-indicators-of-xe-kr-in-metal-organic-frameworks-via-a-precursor-based-n_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting adsorption and separation performance indicators of Xe/Kr in metal-organic frameworks via a precursor-based neural network model}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-adsorption-and-separation-performance-indicators-of-xe-kr-in-metal-organic-frameworks-via-a-precursor-based-n}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting adsorption and separation performance indicators of Xe/Kr in metal-organic frameworks via a precursor-based neural network model — https://4ort.xyz/entity/predicting-adsorption-and-separation-performance-indicators-of-xe-kr-in-metal-organic-frameworks-via-a-precursor-based-n (retrieved 2026-05-24)
