Home ›
Entities
› academia
› Machine learning based refinement strategies for polyhedral grids with applications to virtual element and polyhedral discontinuous Galerkin methods
Machine learning based refinement strategies for polyhedral grids with applications to virtual element and polyhedral discontinuous Galerkin methods
Research article (Journal of Computational Physics, 2022) · cited 21× · AI/ML
Machine learning based refinement strategies for polyhedral grids with applications to virtual element and polyhedral discontinuous Galerkin methods
Summary
Machine learning based refinement strategies for polyhedral grids with applications to virtual element and polyhedral discontinuous Galerkin methods is a scholarly article[1].
Key Facts
Machine learning based refinement strategies for polyhedral grids with applications to virtual element and polyhedral discontinuous Galerkin methods'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). Machine learning based refinement strategies for polyhedral grids with applications to virtual element and polyhedral discontinuous Galerkin methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-based-refinement-strategies-for-polyhedral-grids-with-applications-to-virtual-element-and-polyhedral-di
MLA“Machine learning based refinement strategies for polyhedral grids with applications to virtual element and polyhedral discontinuous Galerkin methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-based-refinement-strategies-for-polyhedral-grids-with-applications-to-virtual-element-and-polyhedral-di.
BibTeX@misc{4ortxyz_machine-learning-based-refinement-strategies-for-polyhedral-grids-with-applications-to-virtual-element-and-polyhedral-di_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning based refinement strategies for polyhedral grids with applications to virtual element and polyhedral discontinuous Galerkin methods}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-based-refinement-strategies-for-polyhedral-grids-with-applications-to-virtual-element-and-polyhedral-di}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning based refinement strategies for polyhedral grids with applications to virtual element and polyhedral discontinuous Galerkin methods — https://4ort.xyz/entity/machine-learning-based-refinement-strategies-for-polyhedral-grids-with-applications-to-virtual-element-and-polyhedral-di (retrieved 2026-05-24)
