Home ›
Entities
› academia
› Artificial neural network (ANN) approach to predict unconfined compressive strength (UCS) of oil and gas well cement reinforced with nanoparticles
Artificial neural network (ANN) approach to predict unconfined compressive strength (UCS) of oil and gas well cement reinforced with nanoparticles
Research article (Journal of Natural Gas Science and Engineering, 2021) · cited 44× · AI/ML
Artificial neural network (ANN) approach to predict unconfined compressive strength (UCS) of oil and gas well cement reinforced with nanoparticles
Summary
Artificial neural network (ANN) approach to predict unconfined compressive strength (UCS) of oil and gas well cement reinforced with nanoparticles is a scholarly article[1].
Key Facts
Artificial neural network (ANN) approach to predict unconfined compressive strength (UCS) of oil and gas well cement reinforced with nanoparticles'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). Artificial neural network (ANN) approach to predict unconfined compressive strength (UCS) of oil and gas well cement reinforced with nanoparticles. Retrieved May 24, 2026, from https://4ort.xyz/entity/artificial-neural-network-ann-approach-to-predict-unconfined-compressive-strength-ucs-of-oil-and-gas-well-cement-reinfor
MLA“Artificial neural network (ANN) approach to predict unconfined compressive strength (UCS) of oil and gas well cement reinforced with nanoparticles.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/artificial-neural-network-ann-approach-to-predict-unconfined-compressive-strength-ucs-of-oil-and-gas-well-cement-reinfor.
BibTeX@misc{4ortxyz_artificial-neural-network-ann-approach-to-predict-unconfined-compressive-strength-ucs-of-oil-and-gas-well-cement-reinfor_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Artificial neural network (ANN) approach to predict unconfined compressive strength (UCS) of oil and gas well cement reinforced with nanoparticles}}, year = {2026}, url = {https://4ort.xyz/entity/artificial-neural-network-ann-approach-to-predict-unconfined-compressive-strength-ucs-of-oil-and-gas-well-cement-reinfor}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Artificial neural network (ANN) approach to predict unconfined compressive strength (UCS) of oil and gas well cement reinforced with nanoparticles — https://4ort.xyz/entity/artificial-neural-network-ann-approach-to-predict-unconfined-compressive-strength-ucs-of-oil-and-gas-well-cement-reinfor (retrieved 2026-05-24)