Home ›
Entities
› academia
› Introducing artificial MOFs for improved machine learning predictions: Identification of top-performing materials for methane storage
Introducing artificial MOFs for improved machine learning predictions: Identification of top-performing materials for methane storage
Research article (The Journal of Chemical Physics, 2022) · cited 20× · AI/ML
Introducing artificial MOFs for improved machine learning predictions: Identification of top-performing materials for methane storage
Summary
Introducing artificial MOFs for improved machine learning predictions: Identification of top-performing materials for methane storage is a scholarly article[1].
Key Facts
Introducing artificial MOFs for improved machine learning predictions: Identification of top-performing materials for methane storage'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). Introducing artificial MOFs for improved machine learning predictions: Identification of top-performing materials for methane storage. Retrieved May 24, 2026, from https://4ort.xyz/entity/introducing-artificial-mofs-for-improved-machine-learning-predictions-identification-of-top-performing-materials-for-met
MLA“Introducing artificial MOFs for improved machine learning predictions: Identification of top-performing materials for methane storage.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/introducing-artificial-mofs-for-improved-machine-learning-predictions-identification-of-top-performing-materials-for-met.
BibTeX@misc{4ortxyz_introducing-artificial-mofs-for-improved-machine-learning-predictions-identification-of-top-performing-materials-for-met_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Introducing artificial MOFs for improved machine learning predictions: Identification of top-performing materials for methane storage}}, year = {2026}, url = {https://4ort.xyz/entity/introducing-artificial-mofs-for-improved-machine-learning-predictions-identification-of-top-performing-materials-for-met}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Introducing artificial MOFs for improved machine learning predictions: Identification of top-performing materials for methane storage — https://4ort.xyz/entity/introducing-artificial-mofs-for-improved-machine-learning-predictions-identification-of-top-performing-materials-for-met (retrieved 2026-05-24)
