Machine learning prediction of the optimal carrier concentration and band gap of quaternary thermoelectric materials via element feature descriptors

Research article (International Journal of Quantum Chemistry, 2021) · cited 11× · AI/ML
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Machine learning prediction of the optimal carrier concentration and band gap of quaternary thermoelectric materials via element feature descriptors

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Machine learning prediction of the optimal carrier concentration and band gap of quaternary thermoelectric materials via element feature descriptors is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine learning prediction of the optimal carrier concentration and band gap of quaternary thermoelectric materials via element feature descriptors. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-prediction-of-the-optimal-carrier-concentration-and-band-gap-of-quaternary-thermoelectric-materials-via
MLA “Machine learning prediction of the optimal carrier concentration and band gap of quaternary thermoelectric materials via element feature descriptors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-prediction-of-the-optimal-carrier-concentration-and-band-gap-of-quaternary-thermoelectric-materials-via.
BibTeX @misc{4ortxyz_machine-learning-prediction-of-the-optimal-carrier-concentration-and-band-gap-of-quaternary-thermoelectric-materials-via_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning prediction of the optimal carrier concentration and band gap of quaternary thermoelectric materials via element feature descriptors}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-prediction-of-the-optimal-carrier-concentration-and-band-gap-of-quaternary-thermoelectric-materials-via}, note = {Accessed: 2026-05-24}}
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