Home ›
Entities
› academia
› Modeling subgrid-scale scalar dissipation rate in turbulent premixed flames using gene expression programming and deep artificial neural networks
Modeling subgrid-scale scalar dissipation rate in turbulent premixed flames using gene expression programming and deep artificial neural networks
Research article (Physics of Fluids, 2022) · cited 14× · AI/ML
Modeling subgrid-scale scalar dissipation rate in turbulent premixed flames using gene expression programming and deep artificial neural networks
Summary
Modeling subgrid-scale scalar dissipation rate in turbulent premixed flames using gene expression programming and deep artificial neural networks is a scholarly article[1].
Key Facts
Modeling subgrid-scale scalar dissipation rate in turbulent premixed flames using gene expression programming and deep artificial neural networks'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). Modeling subgrid-scale scalar dissipation rate in turbulent premixed flames using gene expression programming and deep artificial neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/modeling-subgrid-scale-scalar-dissipation-rate-in-turbulent-premixed-flames-using-gene-expression-programming-and-deep-a
MLA“Modeling subgrid-scale scalar dissipation rate in turbulent premixed flames using gene expression programming and deep artificial neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modeling-subgrid-scale-scalar-dissipation-rate-in-turbulent-premixed-flames-using-gene-expression-programming-and-deep-a.
BibTeX@misc{4ortxyz_modeling-subgrid-scale-scalar-dissipation-rate-in-turbulent-premixed-flames-using-gene-expression-programming-and-deep-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modeling subgrid-scale scalar dissipation rate in turbulent premixed flames using gene expression programming and deep artificial neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/modeling-subgrid-scale-scalar-dissipation-rate-in-turbulent-premixed-flames-using-gene-expression-programming-and-deep-a}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Modeling subgrid-scale scalar dissipation rate in turbulent premixed flames using gene expression programming and deep artificial neural networks — https://4ort.xyz/entity/modeling-subgrid-scale-scalar-dissipation-rate-in-turbulent-premixed-flames-using-gene-expression-programming-and-deep-a (retrieved 2026-05-24)
