Home ›
Entities
› academia
› Combining computational fluid dynamics and neural networks to characterize microclimate extremes: Learning the complex interactions between meso-climate and urban morphology
Combining computational fluid dynamics and neural networks to characterize microclimate extremes: Learning the complex interactions between meso-climate and urban morphology
Research article (The Science of The Total Environment, 2022) · cited 58× · AI/ML
Combining computational fluid dynamics and neural networks to characterize microclimate extremes: Learning the complex interactions between meso-climate and urban morphology
Summary
Combining computational fluid dynamics and neural networks to characterize microclimate extremes: Learning the complex interactions between meso-climate and urban morphology is a scholarly article[1].
Key Facts
Combining computational fluid dynamics and neural networks to characterize microclimate extremes: Learning the complex interactions between meso-climate and urban morphology'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). Combining computational fluid dynamics and neural networks to characterize microclimate extremes: Learning the complex interactions between meso-climate and urban morphology. Retrieved May 24, 2026, from https://4ort.xyz/entity/combining-computational-fluid-dynamics-and-neural-networks-to-characterize-microclimate-extremes-learning-the-complex-in
MLA“Combining computational fluid dynamics and neural networks to characterize microclimate extremes: Learning the complex interactions between meso-climate and urban morphology.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/combining-computational-fluid-dynamics-and-neural-networks-to-characterize-microclimate-extremes-learning-the-complex-in.
BibTeX@misc{4ortxyz_combining-computational-fluid-dynamics-and-neural-networks-to-characterize-microclimate-extremes-learning-the-complex-in_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Combining computational fluid dynamics and neural networks to characterize microclimate extremes: Learning the complex interactions between meso-climate and urban morphology}}, year = {2026}, url = {https://4ort.xyz/entity/combining-computational-fluid-dynamics-and-neural-networks-to-characterize-microclimate-extremes-learning-the-complex-in}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Combining computational fluid dynamics and neural networks to characterize microclimate extremes: Learning the complex interactions between meso-climate and urban morphology — https://4ort.xyz/entity/combining-computational-fluid-dynamics-and-neural-networks-to-characterize-microclimate-extremes-learning-the-complex-in (retrieved 2026-05-24)