| The relation between ductility and stacking fault energies in Mg and Mg–Y alloys S Sandlöbes, M Friák, S Zaefferer, A Dick, S Yi, D Letzig, Z Pei, LF Zhu, ... Acta Materialia 60 (6-7), 3011-3021, 2012 | 559 | 2012 |
| Ductility improvement of Mg alloys by solid solution: Ab initio modeling, synthesis and mechanical properties S Sandlöbes, Z Pei, M Friák, LF Zhu, F Wang, S Zaefferer, D Raabe, ... Acta Materialia 70, 92-104, 2014 | 292 | 2014 |
| A rare-earth free magnesium alloy with improved intrinsic ductility S. Sandlöbes, M. Friák, S. Korte-Kerzel, Z. Pei, J. Neugebauer, D. Raabe Scientific Reports 7, 10458, 2017 | 159 | 2017 |
| Ab initio and atomistic study of generalized stacking fault energies in Mg and Mg–Y alloys Z Pei, LF Zhu, M Friák, S Sandlöbes, J von Pezold, HW Sheng, CP Race, ... New Journal of Physics 15 (4), 043020, 2013 | 132 | 2013 |
| High-throughput design of high-performance lightweight high-entropy alloys R Feng, C Zhang, MC Gao, Z Pei, F Zhang, Y Chen, D Ma, K An, ... Nature Communications 12 (1), 4329, 2021 | 129 | 2021 |
| Machine-learning informed prediction of high-entropy solid solution formation: Beyond the Hume-Rothery rules Z Pei, J Yin, JA Hawk, DE Alman, MC Gao npj Computational Materials, 2020 | 129 | 2020 |
| Machine Learning for High Entropy Alloys: Progress, Challenges and Opportunities X Liu, J Zhang, Z Pei*(Corresponding) Progress in Materials Science (https://arxiv.org/abs/2209.03173), 2022 | 86 | 2022 |
| Rapid theory-guided prototyping of ductile Mg alloys: from binary to multi-component materials Z Pei, M Friák, S Sandlöbes, R Nazarov, B Svendsen, ... New Journal of Physics 17, 093009, 2015 | 47 | 2015 |
| First-principles study of the solute segregation in twin boundaries in Mg and possible descriptors for mechanical properties Z Pei, R Li, J Nie, JR Morris Materials & Design, 2019 | 45 | 2019 |
| An overview of modeling the stacking faults in lightweight and high-entropy alloys: Theory and application Z Pei Materials Science & Engineering A, 2018 | 45 | 2018 |
| Shape-preserving machining produces gradient nanolaminate medium entropy alloys with high strain hardening capability W Guo, Z Pei, X Sang, JD Poplawsky, S Bruschi, J Qu, D Raabe, H Bei Acta Materialia 170, 176-186, 2019 | 43 | 2019 |
| From generalized stacking fault energies to dislocation properties: Five-energy-point approach and solid solution effects in magnesium Z Pei, D Ma, M Friák, B Svendsen, D Raabe, J Neugebauer Phys. Rev. B 92 (6), 064107, 2015 | 42 | 2015 |
| Dislocation Core Structures and Peierls Stresses of the High-Entropy Alloy NiCoFeCrMn and Its Subsystems X Liu, Z Pei*, M Eisenbach Materials & Design, 2019 | 36 | 2019 |
| Machine-learning microstructure for inverse material design Z Pei, KA Rozman, ÖN Doğan, Y Wen, N Gao, EA Holm, JA Hawk, ... Advanced Science，DOI: 10.1002/advs.202101207, 2021 | 35 | 2021 |
| Electronic transport and phonon properties of maximally disordered alloys: from binaries to high entropy alloys S Mu, Z Pei, X Liu, GM Stocks Journal of Materials Research, 2018 | 34 | 2018 |
| Statistics of the NiCoCr medium-entropy alloy: Novel aspect of an old puzzle Z Pei, R Li, M Gao, GM Stocks npj Computational Materials, 2020 | 31 | 2020 |
| Atomic structures of twin boundaries in hexagonal close- packed metallic crystals with particular focus on Mg Z Pei, X Zhang, T Hickel, M Friák, S Sandlöbes, B Dutta, J Neugebauer npj Computational Materials 6, 2017 | 31 | 2017 |
| Toward the design of ultrahigh-entropy alloys via mining six million texts Z Pei, J Yin, P Liaw, D Raabe Nature Communications, 2023 | 30 | 2023 |
| Machine Learning as a contributor to physics: Understanding Mg alloys Z Pei, J Yin Materials & Design, 2019 | 25 | 2019 |
| Hidden effects of negative stacking fault energies in complex concentrated alloys Z Pei, B Dutta, F Körmann, M Chen Physical Review Letters 126 (25), 255502, 2021 | 22 | 2021 |
Jörg NeugebauerDirector, Max-Planck-Institut für EisenforschungVerified email at mpie.de
