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PotentialMind: Graph Convolutional Machine Learning Potential for Sb–Te Binary Compounds of Multiple Stoichiometries

Research article (The Journal of Physical Chemistry C, 2023) · cited 15× · AI/ML
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PotentialMind: Graph Convolutional Machine Learning Potential for Sb–Te Binary Compounds of Multiple Stoichiometries

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PotentialMind: Graph Convolutional Machine Learning Potential for Sb–Te Binary Compounds of Multiple Stoichiometries is a scholarly article[1].

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  • PotentialMind: Graph Convolutional Machine Learning Potential for Sb–Te Binary Compounds of Multiple Stoichiometries's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). PotentialMind: Graph Convolutional Machine Learning Potential for Sb–Te Binary Compounds of Multiple Stoichiometries. Retrieved May 24, 2026, from https://4ort.xyz/entity/potentialmind-graph-convolutional-machine-learning-potential-for-sbte-binary-compounds-of-multiple-stoichiometries
MLA “PotentialMind: Graph Convolutional Machine Learning Potential for Sb–Te Binary Compounds of Multiple Stoichiometries.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/potentialmind-graph-convolutional-machine-learning-potential-for-sbte-binary-compounds-of-multiple-stoichiometries.
BibTeX @misc{4ortxyz_potentialmind-graph-convolutional-machine-learning-potential-for-sbte-binary-compounds-of-multiple-stoichiometries_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PotentialMind: Graph Convolutional Machine Learning Potential for Sb–Te Binary Compounds of Multiple Stoichiometries}}, year = {2026}, url = {https://4ort.xyz/entity/potentialmind-graph-convolutional-machine-learning-potential-for-sbte-binary-compounds-of-multiple-stoichiometries}, note = {Accessed: 2026-05-24}}
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