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【Article】Omics-scale polymer computational database transferable to real-world artificial intelligence applications
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【Article】Machine Learning for Polymer Chemical Resistance to Organic Solvents
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【Article】Discovery of liquid crystalline polymers with high thermal conductivity using machine learning
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【Article】Scaling Law of Sim2Real transfer learning in expanding computational materials databases for real-world predictions
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【Article】Bayesian Kernel Regression for Functional Data
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【Article】Advancing extrapolative predictions of material properties through learning to learn using extrapolative episodic training
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【Article】Smectic liquid crystalline poly(ester imide)s with low dielectric dissipation factors for high-frequency applications
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【Article】SPACIER: on-demand polymer design with fully automated all-atom classical molecular dynamics integrated into machine learning pipelines
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