Failure, Uncertainty, and Risk in Materials AI — How Negative Outcomes Are Handled Across the Literature: A Review Study

iamrp.net-r8rr-1788999643-d084855063 1788999643 Institute for Advanced Materials Research Press info@iamrp.net Institute for Advanced Materials Research Press Journal of Artificial Intelligence for Materials Science J. Artif. Intell. Mater. Sci. 3149-8957 2022 1 1 Failure, Uncertainty, and Risk in Materials AI — How Negative Outcomes Are Handled Across the Literature: A Review Study Ravi Menon Arjun Nair Meera Pillai Suresh Varma 2022 10.68159/d084855063 https://iamrp.net/pub/journal/1/article/d084855063 Chen C, Zuo Y, Ye W, Li X, Deng Z, Ong SP. A critical review of machine learning of energy materials. Adv Energy Mater. 2020;10(8):1903242. 10.1002/aenm.201903242 Merchant A, Batzner S, Schoenholz SS, Aykol M, Cheon G, Cubuk ED. Scaling deep learning for materials discovery. Nature. 2023;624(7990):80-5. 10.1038/s41586-023-06735-9 Ramprasad R, Beaudoin C, Behera S. Machine learning with limited data for materials design. 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