Peng, X.-L., Fathidoost, M., Lin, B., Yang, Y. und Xu, B.-X. (2025) What can machine learning help with microstructure-informed materials modeling and design? [cd], MRS Bulletin. Berlin: Springer. doi:10.26083/tuprints-00029319.
Chicago Manual of Style 17th edition (full note)Peng, Xiang-Long, Mozhdeh Fathidoost, Binbin Lin, Yangyiwei Yang, und Bai-Xiang Xu. What can machine learning help with microstructure-informed materials modeling and design?. Cd. MRS Bulletin. Berlin: Springer, [2025?], Berlin: Springer, [2025?]. 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
Modern Language Association 9th editionPeng, X.-L., M. Fathidoost, B. Lin, Y. Yang, und B.-X. Xu. „What can machine learning help with microstructure-informed materials modeling and design?“. MRS Bulletin, cd, Springer, 2025, https://doi.org/10.26083/tuprints-00029319.
ISO-690 (author-date, Deutsch)PENG, Xiang-Long, Mozhdeh FATHIDOOST, Binbin LIN, Yangyiwei YANG und Bai-Xiang XU, 2025. What can machine learning help with microstructure-informed materials modeling and design?. Berlin: Springer