Leveraging Persistent Homology Features for Accurate Defect Formation Energy Predictions via Graph Neural Networks

Research article (Chemistry of Materials, 2025) · cited 17× · AI/ML
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Leveraging Persistent Homology Features for Accurate Defect Formation Energy Predictions via Graph Neural Networks

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Leveraging Persistent Homology Features for Accurate Defect Formation Energy Predictions via Graph Neural Networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Leveraging Persistent Homology Features for Accurate Defect Formation Energy Predictions via Graph Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/leveraging-persistent-homology-features-for-accurate-defect-formation-energy-predictions-via-graph-neural-networks
MLA “Leveraging Persistent Homology Features for Accurate Defect Formation Energy Predictions via Graph Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/leveraging-persistent-homology-features-for-accurate-defect-formation-energy-predictions-via-graph-neural-networks.
BibTeX @misc{4ortxyz_leveraging-persistent-homology-features-for-accurate-defect-formation-energy-predictions-via-graph-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Leveraging Persistent Homology Features for Accurate Defect Formation Energy Predictions via Graph Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/leveraging-persistent-homology-features-for-accurate-defect-formation-energy-predictions-via-graph-neural-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Leveraging Persistent Homology Features for Accurate Defect Formation Energy Predictions via Graph Neural Networks — https://4ort.xyz/entity/leveraging-persistent-homology-features-for-accurate-defect-formation-energy-predictions-via-graph-neural-networks (retrieved 2026-05-24)

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