Machine learning as a contributor to physics: Understanding Mg alloys
Research article (Materials & Design, 2019) · cited 50× · AI/ML
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4ort.xyz Knowledge Graph. (2026). Machine learning as a contributor to physics: Understanding Mg alloys. Retrieved October 18, 2026, from https://4ort.xyz/entity/machine-learning-as-a-contributor-to-physics-understanding-mg-alloys
“Machine learning as a contributor to physics: Understanding Mg alloys.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/machine-learning-as-a-contributor-to-physics-understanding-mg-alloys.
@misc{4ortxyz_machine-learning-as-a-contributor-to-physics-understanding-mg-alloys_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning as a contributor to physics: Understanding Mg alloys}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-as-a-contributor-to-physics-understanding-mg-alloys}, note = {Accessed: 2026-10-18}}
According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning as a contributor to physics: Understanding Mg alloys — https://4ort.xyz/entity/machine-learning-as-a-contributor-to-physics-understanding-mg-alloys (retrieved 2026-10-18)
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