Publications

Filiatraut, A. N.; Mianroodi, J. R.; Hamidi Siboni, N.; Zanjani, M. B.: Predicting micro/nanoscale colloidal interactions through local neighborhood graph neural networks. Journal of Applied Physics 134 (23), 234702 (2023)

Yao, Z.; Chen, Z.; Ouyang, M.; Chen, X.; Yang, M.; Li, Z.; Wang, C.; Yang, T.; Shi, R.; Zhong, Z. et al.; Liu, X.: Accelerated discovery of composition-carbide-hardness linkage of Stellite alloys assisted by image recognition. Scripta Materialia 234, 115539 (2023)

Chen, X.; Rezaei Mianroodi, J.; Liu, C.; Zhou, X.; Ponge, D.; Gault, B.; Svendsen, B.; Raabe, D.: Investigation of vacancy trapping by solutes during quenching in aluminum alloys. Acta Materialia 254, 118969 (2023)

Mianroodi, J. R.; Shanthraj, P.; Kwiatkowski da Silva, A.; Svendsen, B.; Raabe, D.: Combined modeling and experimental characterization of Mn segregation and spinodal decomposition along dislocation lines in Fe–Mn alloys. Acta Materialia 251, 118873 (2023)

Raabe, D.; Mianroodi, J. R.; Neugebauer, J.: Accelerating the design of compositionally complex materials via physics-informed artificial intelligence. Nature Computational Science 3 (3), pp. 198 - 209 (2023)

Zheng, S.; Li, C.; Guo, L.; Chen, X.; Huang, Y.; Wang, C.; Yang, S.: Reverse shape memory effect in Cu–Mn–Ga–Mo alloys. Materials Characterization 197, 112679 (2023)

Khorrami, M. S.; Mianroodi, J. R.; Hamidi Siboni, N.; Goyal, P. K.; Svendsen, B.; Benner, P.; Raabe, D.: An artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials. npj Computational Materials 9 (1), p. 37 (2023)