Robust and efficient prediction of the collection efficiency in icing accretion simulation for 3D complex geometries using the Lagrangian approach I: an adaptive interpolation method based on the restricted radial basis functions

Research article (International Journal of Heat and Mass Transfer, 2020) · cited 17× · AI/ML
Press Enter · cited answer in seconds

Robust and efficient prediction of the collection efficiency in icing accretion simulation for 3D complex geometries using the Lagrangian approach I: an adaptive interpolation method based on the restricted radial basis functions

Summary

Robust and efficient prediction of the collection efficiency in icing accretion simulation for 3D complex geometries using the Lagrangian approach I: an adaptive interpolation method based on the restricted radial basis functions is a scholarly article[1].

Key Facts

  • Robust and efficient prediction of the collection efficiency in icing accretion simulation for 3D complex geometries using the Lagrangian approach I: an adaptive interpolation method based on the restricted radial basis functions's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Robust and efficient prediction of the collection efficiency in icing accretion simulation for 3D complex geometries using the Lagrangian approach I: an adaptive interpolation method based on the restricted radial basis functions. Retrieved May 24, 2026, from https://4ort.xyz/entity/robust-and-efficient-prediction-of-the-collection-efficiency-in-icing-accretion-simulation-for-3d-complex-geometries-usi
MLA “Robust and efficient prediction of the collection efficiency in icing accretion simulation for 3D complex geometries using the Lagrangian approach I: an adaptive interpolation method based on the restricted radial basis functions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robust-and-efficient-prediction-of-the-collection-efficiency-in-icing-accretion-simulation-for-3d-complex-geometries-usi.
BibTeX @misc{4ortxyz_robust-and-efficient-prediction-of-the-collection-efficiency-in-icing-accretion-simulation-for-3d-complex-geometries-usi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robust and efficient prediction of the collection efficiency in icing accretion simulation for 3D complex geometries using the Lagrangian approach I: an adaptive interpolation method based on the restricted radial basis functions}}, year = {2026}, url = {https://4ort.xyz/entity/robust-and-efficient-prediction-of-the-collection-efficiency-in-icing-accretion-simulation-for-3d-complex-geometries-usi}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Robust and efficient prediction of the collection efficiency in icing accretion simulation for 3D complex geometries using the Lagrangian approach I: an adaptive interpolation method based on the restricted radial basis functions — https://4ort.xyz/entity/robust-and-efficient-prediction-of-the-collection-efficiency-in-icing-accretion-simulation-for-3d-complex-geometries-usi (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/robust-and-efficient-prediction-of-the-collection-efficiency-in-icing-accretion-simulation-for-3d-complex-geometries-usi · Last refreshed: