| Machine learning-assisted discovery of strong and conductive Cu alloys: Data mining from discarded experiments and physical features Q Zhao, H Yang, J Liu, H Zhou, H Wang, W Yang Materials & Design 197, 109248, 2021 | 62 | 2021 |
| Effect of Al solute concentration on mechanical properties of AlxFeCuCrNi high-entropy alloys: A first-principles study Q Zhao, J Li, Q Fang, H Feng Physica B: Condensed Matter 566, 30-37, 2019 | 34 | 2019 |
| Unraveling the deformation behavior of the Fe45Co25Ni10V20 high entropy alloy YX Li, RK Nutor, QK Zhao, XP Zhang, QP Cao, SS Sohn, XD Wang, ... International Journal of Plasticity 165, 103619, 2023 | 20 | 2023 |
| Misorientation-dependent transition between grain boundary migration and sliding in FCC metals Q Huang, Q Zhao, H Zhou, W Yang International Journal of Plasticity 159, 103466, 2022 | 19 | 2022 |
| Phase transformation induced transitional twin boundary in body-centered cubic metals X Li, Q Zhao, Y Tian, Q Wang, J Fan, K Song, H Zhou, J Wang Acta Materialia 249, 118815, 2023 | 14 | 2023 |
| Predicting the property contour-map and optimum composition of Cu-Co-Si alloys via machine learning F Zhao, C Lei, Q Zhao, H Yang, G Ling, J Liu, H Zhou, H Wang Materials Today Communications 30, 103138, 2022 | 12 | 2022 |
| Shear band mediated ω phase transformation in Nb single crystals deformed at 77 K X Li, Q Zhao, Q Wang, Y Tian, H Zhou, J Wang Materials Research Letters 9 (12), 523-530, 2021 | 12 | 2021 |
| Effect of interstitial N atom on physical and mechanical properties of FeCoCrNiMn high-entropy alloys: A first-principles study Y Chen, Q Zhao, H Wu, Q Fang, J Li Physica B: Condensed Matter 615, 413078, 2021 | 11 | 2021 |
| Tailoring microstructure of metallic glass for delocalized plasticity by pressure annealing: Forward and inverse studies Y Tang, QK Zhao, HF Zhou, W Hu, TD Xu, L Zheng, RK Nutor, XD Wang, ... Acta Materialia 220, 117282, 2021 | 8 | 2021 |
| Xiyao Li J Wang, Y Tian, Q Zhu, Q Zhao | 7 | 2016 |
| Imaging of atomic stress at grain boundaries based on machine learning Q Zhao, Q Zhu, Z Zhang, X Li, Q Huang, W Yang, J Wang, H Gao, H Zhou Journal of the Mechanics and Physics of Solids 181, 105455, 2023 | 5 | 2023 |
| Constitutive description of extra strengthening in gradient nanotwinned metals W Chen, P Wan, Q Zhao, H Zhou Nanomaterials 11 (9), 2375, 2021 | 4 | 2021 |
| Lowering the sound transmission loss of impedance-matching structures: data-driven optimization assisted with a priori knowledge J Gu, Q Zhao, B Yin, H Zhou, S Qu Materials & Design 232, 112091, 2023 | 3 | 2023 |
| Exploring the design space of discontinuous metal matrix composites through domain-knowledge enhanced machine learning H Deng, Q Zhao, X Gao, HX Peng, H Zhou Extreme Mechanics Letters, 102176, 2024 | | 2024 |
| Overcoming strength-ductility tradeoff with high pressure thermal treatment Y Tang, H Wang, X Ouyang, C Wang, Q Huang, Q Zhao, X Liu, Q Zhu, ... Nature Communications 15 (1), 3932, 2024 | | 2024 |
| Corrigendum to'Phase transformation induced transitional twin boundary in body-centered cubic metals'[Acta Materialia 249 (2023) 118815] X Li, Q Zhao, Y Tian, Q Wang, J Fan, K Song, H Zhou, J Wang Acta Materialia 269, 119808, 2024 | | 2024 |
| Grain boundary plasticity initiated by excess volume Q Zhu, Q Zhao, Q Huang, Y Chen, S Suresh, W Yang, Z Zhang, H Zhou, ... Proceedings of the National Academy of Sciences 121 (12), e2400161121, 2024 | | 2024 |
| Controllable Pseudoelasticity in Metallic Nanocrystals by Grain Boundary Engineering H Deng, Y Chen, Q Zhu, Q Zhao, Q Huang, J Wang, H Zhou Nano Letters, 2024 | | 2024 |
| Corrigendum to “Lowering the sound transmission loss of impedance-matching structures: Data-driven optimization assisted with a priori knowledge”[Mater. Des. 232 (2023) 112091] J Gu, Q Zhao, B Yin, H Zhou, S Qu Materials & Design 235, 112382, 2023 | | 2023 |
