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Multi-fidelity machine learning models for accurate bandgap predictions of solids

Research article (Computational Materials Science, 2016) · cited 316× · AI/ML
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Multi-fidelity machine learning models for accurate bandgap predictions of solids

Summary

Multi-fidelity machine learning models for accurate bandgap predictions of solids is a scholarly article[1].

Key Facts

  • Multi-fidelity machine learning models for accurate bandgap predictions of solids's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Multi-fidelity machine learning models for accurate bandgap predictions of solids. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-fidelity-machine-learning-models-for-accurate-bandgap-predictions-of-solids
MLA “Multi-fidelity machine learning models for accurate bandgap predictions of solids.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-fidelity-machine-learning-models-for-accurate-bandgap-predictions-of-solids.
BibTeX @misc{4ortxyz_multi-fidelity-machine-learning-models-for-accurate-bandgap-predictions-of-solids_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-fidelity machine learning models for accurate bandgap predictions of solids}}, year = {2026}, url = {https://4ort.xyz/entity/multi-fidelity-machine-learning-models-for-accurate-bandgap-predictions-of-solids}, note = {Accessed: 2026-05-24}}
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