Zongrui Pei

Citované v

	Všetky	Od 2020
Citácie	2843	2127
h-index	24	22
i10-index	38	35

660

330

165

495

201320142015201620172018201920202021202220232024202529 30 104 70 110 146 217 206 287 324 501 655 152

Verejný prístup

všetky položky

45 článkov

2 články

dostupné

nedostupné

Na základe mandátov na financovanie

Spoluautori

Jörg NeugebauerDirector, Max-Planck-Institut für EisenforschungOverená e-mailová adresa na: mpie.de
Martin FriákInstitute of Physics of Materials, Czech Academy of SciencesOverená e-mailová adresa na: ipm.cz
Steffi SandloebesInstitut für Metallkunde und Metallphysik, RWTH Aachen UniversityOverená e-mailová adresa na: imm.rwth-aachen.de
Michael GaoNational Energy Technology LaboratoryOverená e-mailová adresa na: netl.doe.gov
Dierk RaabeMax Planck Institute for Sustainable MaterialsOverená e-mailová adresa na: mpie.de
Bob SvendsenLehrstuhl für Werkstoffmechanik, RWTH Aachen UniversityOverená e-mailová adresa na: rwth-aachen.de
Peter LiawUniversity of TennesseeOverená e-mailová adresa na: utk.edu
Howard ShengAssociate Professor of PhysicsOverená e-mailová adresa na: gmu.edu
Mingwei ChenProfessor of Materials Science and Engineering, Southern University of Science and TechnologyOverená e-mailová adresa na: sustech.edu.cn
Tilmann HickelBAM Federal Institute for Materials Research and TestingOverená e-mailová adresa na: mpie.de
Fritz KörmannUniversity of Stuttgart, ICAMS Bochum, MPIE DüsseldorfOverená e-mailová adresa na: mpie.de
Elizabeth A. HolmUniversity of MichiganOverená e-mailová adresa na: umich.edu
Jian-Feng NieMonash UniversityOverená e-mailová adresa na: monash.edu
James R. MorrisChief Research Officer, Ames LaboratoryOverená e-mailová adresa na: ameslab.gov
H. BEIZhejiang UniversityOverená e-mailová adresa na: zju.edu.cn
Duancheng MaUmicore AG & Co. KGOverená e-mailová adresa na: eu.umicore.com
Andrew MinorUniversity of California, Berkeley and Lawrence Berkeley National LaboratoryOverená e-mailová adresa na: lbl.gov
M. AstaUniversity of California, Sandia National Laboratories, Northwestern UniversityOverená e-mailová adresa na: berkeley.edu
Anubhav JainLawrence Berkeley National LabOverená e-mailová adresa na: lbl.gov

Sledovať

Zongrui Pei

NYU; NETL; ORNL; MPIE

Overená e-mailová adresa na: ornl.gov

Machine learning Computational materials science Mechanics Thermodynamics


Názov Zoradiť podľa citácií Zoradiť podľa roka Zoradiť podľa názvu	Citované v Citované v	Rok
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	606	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	323	2014
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	200	2022
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	200	2021
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	188	2017
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	172	2020
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	138	2013
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	61	2021
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	56	2019
An overview of modeling the stacking faults in lightweight and high-entropy alloys: Theory and application Z Pei Materials Science & Engineering A, 2018	54	2018
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	50	2015
Toward the design of ultrahigh-entropy alloys via mining six million texts Z Pei, J Yin, P Liaw, D Raabe Nature Communications, 2023	48	2023
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	46	2019
Dislocation Core Structures and Peierls Stresses of the High-Entropy Alloy NiCoFeCrMn and Its Subsystems X Liu, Z Pei*, M Eisenbach Materials & Design, 2019	44	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	44	2015
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	38	2020
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	38	2018
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	36	2017
Machine Learning as a contributor to physics: Understanding Mg alloys Z Pei, J Yin Materials & Design, 2019	34	2019
Neural network based order parameter for phase transitions and its applications in high-entropy alloys J Yin, Z Pei, （equal and corresponding）, M Gao Nature Computational Science (arXiv preprint arXiv:2109.05598), 2021	32	2021

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