Towards accurate prediction of configurational disorder properties in materials using graph neural networks
Summary
Towards accurate prediction of configurational disorder properties in materials using graph neural networks is a scholarly article[1].
Key Facts
Towards accurate prediction of configurational disorder properties in materials using graph neural networks's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Towards accurate prediction of configurational disorder properties in materials using graph neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/towards-accurate-prediction-of-configurational-disorder-properties-in-materials-using-graph-neural-networks
MLA“Towards accurate prediction of configurational disorder properties in materials using graph neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/towards-accurate-prediction-of-configurational-disorder-properties-in-materials-using-graph-neural-networks.
BibTeX@misc{4ortxyz_towards-accurate-prediction-of-configurational-disorder-properties-in-materials-using-graph-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Towards accurate prediction of configurational disorder properties in materials using graph neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/towards-accurate-prediction-of-configurational-disorder-properties-in-materials-using-graph-neural-networks}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Towards accurate prediction of configurational disorder properties in materials using graph neural networks — https://4ort.xyz/entity/towards-accurate-prediction-of-configurational-disorder-properties-in-materials-using-graph-neural-networks (retrieved 2026-05-24)
