Accelerating Materials Discovery through Machine Learning: Predicting Crystallographic Symmetry Groups

Research article (The Journal of Physical Chemistry C, 2023) · cited 20× · AI/ML
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Accelerating Materials Discovery through Machine Learning: Predicting Crystallographic Symmetry Groups

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Accelerating Materials Discovery through Machine Learning: Predicting Crystallographic Symmetry Groups is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Accelerating Materials Discovery through Machine Learning: Predicting Crystallographic Symmetry Groups. Retrieved May 24, 2026, from https://4ort.xyz/entity/accelerating-materials-discovery-through-machine-learning-predicting-crystallographic-symmetry-groups
MLA “Accelerating Materials Discovery through Machine Learning: Predicting Crystallographic Symmetry Groups.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/accelerating-materials-discovery-through-machine-learning-predicting-crystallographic-symmetry-groups.
BibTeX @misc{4ortxyz_accelerating-materials-discovery-through-machine-learning-predicting-crystallographic-symmetry-groups_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Accelerating Materials Discovery through Machine Learning: Predicting Crystallographic Symmetry Groups}}, year = {2026}, url = {https://4ort.xyz/entity/accelerating-materials-discovery-through-machine-learning-predicting-crystallographic-symmetry-groups}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Accelerating Materials Discovery through Machine Learning: Predicting Crystallographic Symmetry Groups — https://4ort.xyz/entity/accelerating-materials-discovery-through-machine-learning-predicting-crystallographic-symmetry-groups (retrieved 2026-05-24)

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