iamrp.net-slOs-1793297191-w708736063 1793297191 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 2025 4 1 Nguyen Thanh Huy Le Thi Bich Pham Quang Minh 2025 10.68159/w708736063 https://iamrp.net/pub/journal/1/article/w708736063 Jha D, Gupta V, Liao W-K, Choudhary A, Agrawal A. Towards physics-informed explainable machine learning and causal models for materials research. Comput Mater Sci. 2023;233:112735. 10.1016/j.commatsci.2023.112735 Schölkopf B, Locatello F, Bauer S, Ke NR, Kalchbrenner N, et al. Toward causal representation learning. Proc IEEE. 2021;109(5):612-34. 10.1109/JPROC.2021.3058954 Naser MZ. Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence. Wiley Interdiscip Rev Data Min Knowl Discov. 2024;14(1):e1533. 10.1002/widm.1533 Pei Z, Yin J, Liaw PK, Raabe D. Toward the design of ultrahigh-entropy alloys via mining six million texts. Nat Commun. 2023;14(1):54. 10.1038/s41467-022-35719-4 Zheng G, Ivanov D, Brintrup A. An adaptive federated learning system for information sharing in supply chains. Int J Prod Res. 2024;62(15):1-23. 10.1080/00207543.2024.2432469 Pyzer-Knapp EO, Pitera JW, Staar PWJ, Takeda S, Laino T, Sanders DP, et al. Accelerating materials discovery using artificial intelligence, high performance computing and robotics. NPJ Comput Mater. 2022;8(1):84. 10.1038/s41524-022-00765-z Vowels MJ, Camgoz NC, Bowden R. D’ya like DAGs? A survey on structure learning and structure validation. ACM Comput Surv. 2022;54(4):82. 10.1145/3444948 Bran AM, Cox S, Schilter O, Baldassari C, White AD, Schwaller P. ChemCrow: Augmenting large-language models with chemistry tools. arXiv preprint arXiv:2304.05376. 2023. Ting JYC, Barnard AS. Data-driven causal inference of process-structure relationships in nanocatalysis. Curr Opin Chem Eng. 2022;36:100802. 10.1016/j.coche.2022.100802 Hund L, Schroeder B. A causal perspective on reliability assessment. Reliab Eng Syst Saf. 2020;195:106678. 10.1016/j.ress.2019.106678 Lopez R, Hütter J-C, Pritchard J, Regev A. Large-scale differentiable causal discovery of factor graphs. Adv Neural Inf Process Syst. 2022;35:19290-303. Batra R, Song L, Ramprasad R. Emerging materials intelligence ecosystems propelled by machine learning. Nat Rev Mater. 2021;6(8):655-78. 10.1038/s41578-020-00255-y Von Lilienfeld OA, Müller K-R, Tkatchenko A. Exploring chemical space with machine learning. Nat Rev Chem. 2020;4(7):347-58. 10.1038/s41570-020-0183-z 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 Vukovic M, Thalmann S, De Wael M, Van Assche F. Causal Discovery in Manufacturing: A Structured Literature Review. J Manuf Mater Process. 2022;6(1):10. 10.3390/jmmp6010010 Cioffi R, Travaglioni M, Piscitelli G, Petrillo A, De Felice F. Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions. Sustainability. 2020;12(2):492. 10.3390/su12020492 Eigenmann M, Mukherjee S, Maathuis M. Evaluation of causal structure learning algorithms via risk estimation. Proc 36th Conference of Uncertainty in Artificial Intelligence. 2020;124:151-60. Guo R, Cheng L, Li J, Hahn PR, Liu H. A survey on causal inference. ACM Trans Knowl Discov Data. 2021;15(5):74. Yao L, Chu Z, Li S, Li Y, Gao J, Zhang A. A survey on causal inference. ACM Trans Knowl Discov Data. 2021;15(5):1-46. Hasan SU, Gani MO. A survey on causal discovery methods for temporal and non-temporal data. Trans Mach Learn Res. 2023. Feng K, Wang W, Hu Y, He J, Zhang L, Zheng W, et al. Deep learning of causal structures in high dimensions under data limitations. Nat Mach Intell. 2023;5(10):1156-67. 10.1038/s42256-023-00744-z Brouillard P, Lachapelle S, Lacoste A, Lacoste-Julien S, Drouin A. Differentiable causal discovery from interventional data. Adv Neural Inf Process Syst. 2020;33:21865-77. Zhang Z, Liu J, Ding T, Tang M, Chen K, Pan R. A Survey on Causal Inference for Recommendation. Innovation. 2023;4(3):100461. 10.1016/j.xinn.2023.100461 Zhou Y, Chen H. A survey on causal discovery. arXiv preprint arXiv:2211.11164. 2022. Xu L, Mak S, Minaricova M, Brintrup A. On implementing autonomous supply chains: a multi-agent system approach. Comput Ind. 2024;161:104120. 10.1016/j.compind.2024.104120