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Assessing and Improving Machine Learning Model Predictions of Polymer Glass Transition Temperatures

Research article (Journal of Emerging Investigators, 2020) · cited 10× · AI/ML
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Assessing and Improving Machine Learning Model Predictions of Polymer Glass Transition Temperatures

Summary

Assessing and Improving Machine Learning Model Predictions of Polymer Glass Transition Temperatures is a scholarly article[1].

Key Facts

  • Assessing and Improving Machine Learning Model Predictions of Polymer Glass Transition Temperatures's instance of is recorded as scholarly article[2].

References

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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). Assessing and Improving Machine Learning Model Predictions of Polymer Glass Transition Temperatures. Retrieved May 24, 2026, from https://4ort.xyz/entity/assessing-and-improving-machine-learning-model-predictions-of-polymer-glass-transition-temperatures
MLA “Assessing and Improving Machine Learning Model Predictions of Polymer Glass Transition Temperatures.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/assessing-and-improving-machine-learning-model-predictions-of-polymer-glass-transition-temperatures.
BibTeX @misc{4ortxyz_assessing-and-improving-machine-learning-model-predictions-of-polymer-glass-transition-temperatures_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Assessing and Improving Machine Learning Model Predictions of Polymer Glass Transition Temperatures}}, year = {2026}, url = {https://4ort.xyz/entity/assessing-and-improving-machine-learning-model-predictions-of-polymer-glass-transition-temperatures}, note = {Accessed: 2026-05-24}}
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