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Explainability and extrapolation of machine learning models for predicting the glass transition temperature of polymers

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By Agrim Babbar, Science Pilani, Sriram Ragunathan, Debirupa Mitra
| Wiley Online Library Verified
REFERENCES 1, , Annu. Rev. Mater. Res. 2020, 50, 71. 2, , , , , Nature 2018, 559, 547. 3, , , , , , Nat. Mater. 2013, 12, 191. 4, , , Curr. Opin. Chem. Eng. 2019, 23, 106. 5, , , , Npj Comput. Mater. 2019, 5, 1. 6, , , Soft Matter 2021, 17, 7697. 7, , , Mol. Syst. Des. Eng. 2022, 7, 661. 8, , , , , , , Adv. Drug Delivery Rev. 2021, 171, 1. 9, ACS Polym. Au 2022, 2, 8. 10, , , , ACS Comb. Sci. 2017, 19, 96. 11, , , Nanoscale 2020, 12, 23653. 12, , Macromolecules 2021, 54, 3065. 13, , Soft Matter 2023, 19, 282.
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