Machine-learned metrics for predicting the likelihood of success in materials discovery

Research article (npj Computational Materials, 2020) · cited 43× · AI/ML
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Machine-learned metrics for predicting the likelihood of success in materials discovery

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Machine-learned metrics for predicting the likelihood of success in materials discovery is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine-learned metrics for predicting the likelihood of success in materials discovery. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learned-metrics-for-predicting-the-likelihood-of-success-in-materials-discovery
MLA “Machine-learned metrics for predicting the likelihood of success in materials discovery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learned-metrics-for-predicting-the-likelihood-of-success-in-materials-discovery.
BibTeX @misc{4ortxyz_machine-learned-metrics-for-predicting-the-likelihood-of-success-in-materials-discovery_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine-learned metrics for predicting the likelihood of success in materials discovery}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learned-metrics-for-predicting-the-likelihood-of-success-in-materials-discovery}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine-learned metrics for predicting the likelihood of success in materials discovery — https://4ort.xyz/entity/machine-learned-metrics-for-predicting-the-likelihood-of-success-in-materials-discovery (retrieved 2026-05-24)

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