Home ›
Entities
› academia
› Enhancing constitutive description and workability characterization of Mg alloy during hot deformation using machine learning-based Arrhenius-type model
Enhancing constitutive description and workability characterization of Mg alloy during hot deformation using machine learning-based Arrhenius-type model
Research article (Journal of Magnesium and Alloys, 2024) · cited 49× · AI/ML
Enhancing constitutive description and workability characterization of Mg alloy during hot deformation using machine learning-based Arrhenius-type model
Summary
Enhancing constitutive description and workability characterization of Mg alloy during hot deformation using machine learning-based Arrhenius-type model is a scholarly article[1].
Key Facts
Enhancing constitutive description and workability characterization of Mg alloy during hot deformation using machine learning-based Arrhenius-type model'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). Enhancing constitutive description and workability characterization of Mg alloy during hot deformation using machine learning-based Arrhenius-type model. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-constitutive-description-and-workability-characterization-of-mg-alloy-during-hot-deformation-using-machine-lea
MLA“Enhancing constitutive description and workability characterization of Mg alloy during hot deformation using machine learning-based Arrhenius-type model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-constitutive-description-and-workability-characterization-of-mg-alloy-during-hot-deformation-using-machine-lea.
BibTeX@misc{4ortxyz_enhancing-constitutive-description-and-workability-characterization-of-mg-alloy-during-hot-deformation-using-machine-lea_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing constitutive description and workability characterization of Mg alloy during hot deformation using machine learning-based Arrhenius-type model}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-constitutive-description-and-workability-characterization-of-mg-alloy-during-hot-deformation-using-machine-lea}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing constitutive description and workability characterization of Mg alloy during hot deformation using machine learning-based Arrhenius-type model — https://4ort.xyz/entity/enhancing-constitutive-description-and-workability-characterization-of-mg-alloy-during-hot-deformation-using-machine-lea (retrieved 2026-05-24)
