PENG, Xiang-Long, FATHIDOOST, Mozhdeh, LIN, Binbin, YANG, Yangyiwei und XU, Bai-Xiang, 2025. What can machine learning help with microstructure-informed materials modeling and design?. Berlin: Springer.
Elsevier - Harvard (with titles)Peng, X.-L., Fathidoost, M., Lin, B., Yang, Y., Xu, B.-X., 2025. What can machine learning help with microstructure-informed materials modeling and design?, MRS Bulletin. Springer, Berlin. https://doi.org/10.26083/tuprints-00029319
American Psychological Association 7th editionPeng, X.-L., Fathidoost, M., Lin, B., Yang, Y., & Xu, B.-X. (ca. 2025). What can machine learning help with microstructure-informed materials modeling and design? [Cd]. In MRS Bulletin. Springer. https://doi.org/10.26083/tuprints-00029319
Springer - Basic (author-date)Peng X-L, Fathidoost M, Lin B, Yang Y, Xu B-X (2025) What can machine learning help with microstructure-informed materials modeling and design?. Springer, Berlin
Juristische Zitierweise (Stüber) (Deutsch)Peng, Xiang-Long/ Fathidoost, Mozhdeh/ Lin, Binbin/ Yang, Yangyiwei/ Xu, Bai-Xiang, What can machine learning help with microstructure-informed materials modeling and design?, Berlin 2025.