Predicting Polymer Properties in the Digital Age: AI and Uncertainty Quantification
Abstract
The digital transformation is rapidly influencing the field of polymer science. While the exacteffects on research methods are still unfolding, early signs indicate that digitalization maydramatically enhance how new materials are discovered
References
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Gurovich, Y.; Hanani, Y.; Bar, O.; Nadav, G.; Fleischer, N.; Gelbman, D.; Basel-Salmon, L.; Krawitz, P. M.; Kamphausen, S. B.; Zenker, M.; Bird, L. M.; Gripp, K. W. Identifying facial phenotypes of genetic disorders using deep learning. Nat. Med. 2019, 25(1), 60–64.
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Published
2025-05-30
How to Cite
Sri Charan Yarlagadda,St Louis, Missouri,. (2025). Predicting Polymer Properties in the Digital Age: AI and Uncertainty Quantification . Journal of Computational Analysis and Applications (JoCAAA), 34(5), 311–318. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2995
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