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Machine Learning with Enormous “Synthetic” Data Sets: Predicting Glass Transition Temperature of Polyimides Using Graph Convolutional Neural Networks
Research article (ACS Omega, 2022) · cited 60× · AI/ML
Machine Learning with Enormous “Synthetic” Data Sets: Predicting Glass Transition Temperature of Polyimides Using Graph Convolutional Neural Networks
Summary
Machine Learning with Enormous “Synthetic” Data Sets: Predicting Glass Transition Temperature of Polyimides Using Graph Convolutional Neural Networks is a scholarly article[1].
Key Facts
Machine Learning with Enormous “Synthetic” Data Sets: Predicting Glass Transition Temperature of Polyimides Using Graph Convolutional Neural Networks's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Machine Learning with Enormous “Synthetic” Data Sets: Predicting Glass Transition Temperature of Polyimides Using Graph Convolutional Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-with-enormous-synthetic-data-sets-predicting-glass-transition-temperature-of-polyimides-using-graph-con
MLA“Machine Learning with Enormous “Synthetic” Data Sets: Predicting Glass Transition Temperature of Polyimides Using Graph Convolutional Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-with-enormous-synthetic-data-sets-predicting-glass-transition-temperature-of-polyimides-using-graph-con.
BibTeX@misc{4ortxyz_machine-learning-with-enormous-synthetic-data-sets-predicting-glass-transition-temperature-of-polyimides-using-graph-con_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine Learning with Enormous “Synthetic” Data Sets: Predicting Glass Transition Temperature of Polyimides Using Graph Convolutional Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-with-enormous-synthetic-data-sets-predicting-glass-transition-temperature-of-polyimides-using-graph-con}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine Learning with Enormous “Synthetic” Data Sets: Predicting Glass Transition Temperature of Polyimides Using Graph Convolutional Neural Networks — https://4ort.xyz/entity/machine-learning-with-enormous-synthetic-data-sets-predicting-glass-transition-temperature-of-polyimides-using-graph-con (retrieved 2026-05-24)
