Z. Pei

发表

Partitioning of tramp elements Cu and Si in a Ni-based superalloy and their effect on creep properties

M. Gao, J. Hawk, J. Poplawsky, 2020 .

Machine Learning for High-entropy Alloys: Progress, Challenges and Opportunities

Jiaxin Zhang, Zongrui Pei, Xianglin Liu, 2022, Progress in Materials Science.

Characterization of nanostructures in a high pressure die cast Al-Si-Cu alloy

L. Brewer, G. Thompson, Tao Liu, 2021, Acta Materialia.

The relation between ductility and stacking fault energies in Mg and Mg–Y alloys

D. Raabe, J. Neugebauer, S. Zaefferer, 2012 .

Machine learning as a contributor to physics: Understanding Mg alloys

Junqi Yin, Zongrui Pei, Z. Pei, 2019, Materials & Design.

Hidden Mn magnetic-moment disorder and its influence on the physical properties of medium-entropy NiCoMn solid solution alloys

G. M. Stocks, S. Wimmer, H. Ebert, 2019, Physical Review Materials.

Electronic transport and phonon properties of maximally disordered alloys: From binaries to high-entropy alloys

G. M. Stocks, Zongrui Pei, Sai Mu, 2018, Journal of Materials Research.

Ductility improvement of Mg alloys by solid solution: Ab initio modeling, synthesis and mechanical properties

D. Raabe, Fu-chi Wang, J. Neugebauer, 2014 .

Atomic-scale characterization of the precipitates in a Mg-Gd-Y-Zn-Mn alloy using scanning transmission electron microscopy

Bijin Zhou, Xiaoqin Zeng, Liping Yu, 2022, Vacuum.

High-throughput design of high-performance lightweight high-entropy alloys

Yan Chen, K. An, P. Liaw, 2021, Nature Communications.

First-principles study of the solute segregation in twin boundaries in Mg and possible descriptors for mechanical properties

James R. Morris, Zongrui Pei, Z. Pei, 2019, Materials & Design.

Mechanisms and Machine Learning for Magnesium Alloys Design

Zongrui Pei, Zongrui Pei, Z. Pei, 2021 .

The relation between two ductility mechanisms for Mg alloys revealed by high-throughput simulations

Junqi Yin, Zongrui Pei, Z. Pei, 2020 .

An overview of modeling the stacking faults in lightweight and high-entropy alloys: Theory and application

Zongrui Pei, Z. Pei, 2018, Materials Science and Engineering: A.

Tunable twin stability and an accurate magnesium interatomic potential for dislocation-twin interactions

B. Svendsen, Zongrui Pei, H. Sheng, 2018, Materials & Design.

The effect of yttrium on the generalized stacking fault energies in Mg

Rui Li, Z. Pei, 2017 .

Atomic structures of twin boundaries in hexagonal close-packed metallic crystals with particular focus on Mg

B. Dutta, J. Neugebauer, Zongrui Pei, 2017, npj Computational Materials.

Rapid theory-guided prototyping of ductile Mg alloys: from binary to multi-component materials

D. Raabe, B. Svendsen, J. Neugebauer, 2015 .

Ab initio and atomistic study of generalized stacking fault energies in Mg and Mg–Y alloys

D. Raabe, D. Raabe, B. Svendsen, 2013 .

A theory-guided combinatorial materials design of ductile Mg-based alloys utilizing ab initio and atomistic methods

D. Raabe, B. Svendsen, J. Neugebauer, 2015 .

Unexpected capture of Guinier-Preston zone and γ″ phase in as-cast Mg-Gd-Y-Zn-Ni-Mn alloy: Atomic-scale insights

W. Ding, Bing Chen, Zhenyang Liu, 2019, Materials Characterization.

Toward the design of ultrahigh-entropy alloys via mining six million texts

Junqi Yin, D. Raabe, P. Liaw, 2023, Nature Communications.

Neural network-based order parameter for phase transitions and its applications in high-entropy alloys pdf

Junqi Yin, Zongrui Pei, Michael Gao, 2021, Nature Computational Science.

Hidden Effects of Negative Stacking Fault Energies in Complex Concentrated Alloys.

B. Dutta, F. Körmann, Mingwei Chen, 2021, Physical Review Letters.

Machine-learning informed prediction of high-entropy solid solution formation: Beyond the Hume-Rothery rules

Junqi Yin, M. Gao, J. Hawk, 2020, npj Computational Materials.

Machine‐Learning Microstructure for Inverse Material Design

M. Gao, J. Hawk, Ö. Doğan, 2021, Advanced science.

Decoupling between Shockley partials and stacking faults strengthens multiprincipal element alloys

Zongrui Pei, Mingwei Chen, Siyuan Zhang, 2021, Proceedings of the National Academy of Sciences.

From generalized stacking fault energies to dislocation properties: Five-energy-point approach and solid solution effects in magnesium

D. Raabe, B. Svendsen, J. Neugebauer, 2015 .

Dislocation core structures and Peierls stresses of the high-entropy alloy NiCoFeCrMn and its subsystems

M. Eisenbach, Zongrui Pei, Xianglin Liu, 2019, Materials & Design.

Acceleration of the Particle Swarm Optimization for Peierls-Nabarro modeling of dislocations in conventional and high-entropy alloys

Markus Eisenbach, Zongrui Pei, M. Eisenbach, 2017, Comput. Phys. Commun..

First-principles study of order-disorder transitions in multicomponent solid-solution alloys

Markus Eisenbach, Zongrui Pei, Xianglin Liu, 2019, Journal of physics. Condensed matter : an Institute of Physics journal.

Origin of the sensitivity in modeling the glide behaviour of dislocations

G. M. Stocks, Zongrui Pei, Z. Pei, 2018, International Journal of Plasticity.

Machine learning-enabled tomographic imaging of chemical short-range atomic ordering

M. Wuttig, B. Gault, B. Gan, 2023, 2303.13433.

Statistics of the NiCoCr medium-entropy alloy: Novel aspects of an old puzzle

G. M. Stocks, M. Gao, Zongrui Pei, 2020, npj Computational Materials.

A general framework for dislocation models

Zongrui Pei, Z. Pei, 2023, Computational Materials Science.

Error controlling of the combined Cluster-Expansion and Wang-Landau Monte-Carlo method and its application to FeCo

Markus Eisenbach, G. Malcolm Stocks, G. M. Stocks, 2019, Comput. Phys. Commun..

Theory-guided design of high-entropy alloys with enhanced strength-ductility synergy

A. Minor, Shiteng Zhao, M. Gao, 2023, Nature communications.

Data-driven discovery of a formation prediction rule on high-entropy ceramics

M. Gao, Zongrui Pei, Z. Pei, 2023, Acta Materialia.

Shape-preserving machining produces gradient nanolaminate medium entropy alloys with high strain hardening capability

D. Raabe, H. Bei, J. Qu, 2019, Acta Materialia.

The local strain distribution in bilayer materials: a multiscale study.

Wenmei Ming, Zongrui Pei, Sai Mu, 2020, Nanoscale.

Nanoscale fluctuation of stacking fault energy strengthens multi-principal element alloys

P. Liaw, M. Eisenbach, Mingwei Chen, 2023, Journal of Materials Science & Technology.

Theory of the energy fluctuation of multicomponent alloys

Zongrui Pei, Z. Pei, 2019, Scripta Materialia.