Pei, Z.; Yin, J.; Neugebauer, J.; Jain, A.: Towards the holistic design of alloys with large language models. Nature Reviews Materials 9 (12), pp. 840 - 841 (2024)
Pei, Z.; Yin, J.; Liaw, P. K.; Raabe, D.: Author Correction: Toward the design of ultrahigh-entropy alloys via mining six million texts. Nature Communications 14 (1), 3588 (2023)
Pei, Z.; Yin, J.; Liaw, P. K.; Raabe, D.: Toward the design of ultrahigh-entropy alloys via mining six million texts. Nature Communications 14, 54 (2023)
Pei, Z.; Zhang, S.; Lei, Y.; Zhang, F.; Chen, M.: Decoupling between Shockley partials and stacking faults strengthens multiprincipal element alloys. Proceedings of the National Academy of Sciences of the United States of America 118 (51), e2114167118 (2021)
Pei, Z.; Stocks, G. M.: Origin of the sensitivity in modeling the glide behaviour of dislocations. International Journal of Plasticity 106, pp. 48 - 56 (2018)
Sandlöbes, S.; Friák, M.; Dick, A.; Zaefferer, S.; Yi, S.; Letzig, D.; Pei, Z.; Zhu, L.-F.; Neugebauer, J.; Raabe, D.: Complementary TEM and ab ignition study on the ductilizing effect of Y in solid solution Mg–Y alloys. In: Proceedings of the 9th Intern. Conference on Magnesium alloys and their applications, pp. 467 - 472. 9th Intern. Conference on Magnesium alloys and their applications, Vancouver, Canada, July 08, 2012 - July 12, 2012. (2012)
Hickel, T.; Aydin, U.; Sözen, H. I.; Dutta, B.; Pei, Z.; Neugebauer, J.: Innovative concepts in materials design to boost renewable energies. Seminar of Institute for Innovative Technologies, SRH Berlin University of Applied Sciences, Berlin, Germany (2020)
Max Planck team explains dendrite propagation, paving the way for safer and longer-lasting next-generation batteries. They publish their findings in the journal Nature.
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
This project is a joint project of the De Magnete group and the Atom Probe Tomography group, and was initiated by MPIE’s participation in the CRC TR 270 HOMMAGE. We also benefit from additional collaborations with the “Machine-learning based data extraction from APT” project and the Defect Chemistry and Spectroscopy group.