Machine learning discovery of high-temperature polymers
Lei Tao, Guang Chen, Ying Li
Abstract
> 200°C, which is 30 times more than existing known high-temperature polymers (∼2,000 from PoLyInfo). The discovery of this large number of promising candidates will be of significant interest in the development and design of high-temperature polymers.
Topics & Concepts
PolymerGlass transitionGeneralizationComputer scienceArtificial neural networkTransferabilityDeep learningFingerprint (computing)Materials scienceArtificial intelligenceBiological systemMachine learningNanotechnologyMathematicsComposite materialLogitMathematical analysisBiologyMachine Learning in Materials SciencePolymer crystallization and propertiesComputational Drug Discovery Methods