Predicting the synthesizability of crystalline inorganic materials from the data of known material compositions

Research article (npj Computational Materials, 2023) · cited 31× · AI/ML
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Predicting the synthesizability of crystalline inorganic materials from the data of known material compositions

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Predicting the synthesizability of crystalline inorganic materials from the data of known material compositions is a scholarly article[1].

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  • Predicting the synthesizability of crystalline inorganic materials from the data of known material compositions's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Predicting the synthesizability of crystalline inorganic materials from the data of known material compositions. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-the-synthesizability-of-crystalline-inorganic-materials-from-the-data-of-known-material-compositions
MLA “Predicting the synthesizability of crystalline inorganic materials from the data of known material compositions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-the-synthesizability-of-crystalline-inorganic-materials-from-the-data-of-known-material-compositions.
BibTeX @misc{4ortxyz_predicting-the-synthesizability-of-crystalline-inorganic-materials-from-the-data-of-known-material-compositions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting the synthesizability of crystalline inorganic materials from the data of known material compositions}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-the-synthesizability-of-crystalline-inorganic-materials-from-the-data-of-known-material-compositions}, note = {Accessed: 2026-05-24}}
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