Discovering the building blocks of atomic systems using machine learning: application to grain boundaries
Summary
Discovering the building blocks of atomic systems using machine learning: application to grain boundaries is a scholarly article[1].
Key Facts
Discovering the building blocks of atomic systems using machine learning: application to grain boundaries's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Discovering the building blocks of atomic systems using machine learning: application to grain boundaries. Retrieved May 24, 2026, from https://4ort.xyz/entity/discovering-the-building-blocks-of-atomic-systems-using-machine-learning-application-to-grain-boundaries
MLA“Discovering the building blocks of atomic systems using machine learning: application to grain boundaries.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/discovering-the-building-blocks-of-atomic-systems-using-machine-learning-application-to-grain-boundaries.
BibTeX@misc{4ortxyz_discovering-the-building-blocks-of-atomic-systems-using-machine-learning-application-to-grain-boundaries_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Discovering the building blocks of atomic systems using machine learning: application to grain boundaries}}, year = {2026}, url = {https://4ort.xyz/entity/discovering-the-building-blocks-of-atomic-systems-using-machine-learning-application-to-grain-boundaries}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Discovering the building blocks of atomic systems using machine learning: application to grain boundaries — https://4ort.xyz/entity/discovering-the-building-blocks-of-atomic-systems-using-machine-learning-application-to-grain-boundaries (retrieved 2026-05-24)
