Zongrui Pei

发表

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 .

Machine learning as a contributor to physics: Understanding Mg alloys

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

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

D. E. Alman, Junqi Yin, M. Gao, 2020, npj Computational Materials.

Theory of the energy fluctuation of multicomponent alloys

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

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

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

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

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

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..

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.

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

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

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

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

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

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

Atomic-scale insights on the plate-shaped γ″ phase in Mg–Gd–Y–Ag–Zr alloy

Bing Chen, Zhenyang Liu, Zongrui Pei, 2020, Journal of Materials Research.

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.

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

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

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.

A general framework for dislocation models

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

DIST: A dislocation-simulation toolkit

Zongrui Pei, Zongrui Pei, 2018, Comput. Phys. Commun..

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

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

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

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

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.

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.

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.

A rare-earth free magnesium alloy with improved intrinsic ductility

D. Raabe, S. Korte-Kerzel, J. Neugebauer, 2017, Scientific Reports.

Machine‐Learning Microstructure for Inverse Material Design

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

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

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

Mechanisms and Machine Learning for Magnesium Alloys Design

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

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

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

Connecting the mechanical properties of magnesium and high-entropy alloys

Zongrui Pei, 2023, Journal of Alloys and Compounds.

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

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

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

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

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.

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

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

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..

Origin of the sensitivity in modeling the glide behaviour of dislocations

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

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.

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

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

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 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.