Selected Publication 1. Z. Dong*, X. Yu, Q. Huang, L. Dai, Z. Mou, C. Zhou, H. Zhou, Y. He, W. Zheng, L. Jin. Machine learning-guided optimization of oxidation resistance in NbTiZr-containing refractory high-entropy alloys, Corrosion Science, 260 (2026) 113557. 2. Z. Dong*, C. Zhou, Q. Huang, Z. Mou, M. Li, H. Zhou, W. Zheng. Design of high temperature oxidation-resistant high-entropy alloys via machine learning and natural mixing process, Corrosion Science, 255 (2025) 113047. 3. Q. Wei, Y. Wang, G. Yang, T. Li, S. Yu, Z. Dong*, T. Zhang. Discovering novel lead-free solder alloy by multi-objective Bayesian active learning with experimental uncertainty, npj Computational Materials, 11 (2025) 1–14. 4. L. Yu, S. Liu, Q. Yu, Z. Dong*, L. Hao, and J. Mi. "Progress in porous transport layer for hydrogen production via proton exchange membrane water electrolysis" Rare Metals 44, no. 9 (2025): 5933-5956 5. Z. Lian, Y. Chen, C. Zhou, M. Li, Z. Dong*, W. Lu. Accelerated discovery of lead-free solder alloys with enhanced creep resistance via complementary machine learning strategy, Journal of Materials Research and Technology, 32 (2024) 1256–1267. 6. B. Cao, T. Su, S. Yu, T. Li, T. Zhang, J. Zhang, Z. Dong*, T. Zhang. Active learning accelerates the discovery of high strength and high ductility lead-free solder alloys, Materials and Design, 241 (2024) 112921. 7. K. Huang, Y. Liu, W. Wang, Q. Yu, J. Mi, L. Hao, H. Liu, B. Yuan, W. Xiao, X. Chen, Z. Dong*, P. Wang. Simulating the effect of depositing an 8YSZ buffer layer in P92/Al₂O₃ on the thermal cycles endurance and fracture toughness of the system, Coatings, 13 (2023) 1999. 8. Q. Wei, B. Cao, H. Yuan, Y. Chen, K. You, S. Yu, T. Yang, Z. Dong*, T. Zhang. Divide and conquer: Machine learning accelerated design of lead-free solder alloys with high strength and high ductility, npj Computational Materials, 9 (2023) 201. 9. Q. Wei, B. Cao, L. Deng, A. Sun, Z. Dong*, T. Zhang. Discovering a formula for the high temperature oxidation behavior of FeCrAlCoNi based high entropy alloys by domain knowledge-guided machine learning, Journal of Materials Science and Technology, 149 (2023) 237-246. 10. Z. Dong*, A. Sun, S. Yang, X. Yu, H. Yuan, Z. Wang, L. Deng, J. Song, D. Wang, Y. Kang. Machine learning-assisted discovery of Cr, Al-containing high-entropy alloys for high oxidation resistance, Corrosion Science, 220 (2023) 111222. 11. J. Shu, Z. Dong*, C. Zheng, A. Sun, S. Yang, T. Han, Y. Liu, Z. Wang, S. Wang, Y. Liu. High-throughput experimental-assisted study of alloying effects on oxidation of Nb alloys, Corrosion Science, (2022) 110383. 12. Z. Dong*, K. You, H. Yuan, Y. Wu, Y. Jia, G. Wang, J. Peng, S. Cai, X. Luo, C. Liu, J. Wang. Machine learning assisted design of high-strength Sn-3.8 Ag-0.7 Cu alloys with the co-additions of Bi and In, Materials Science and Engineering: A, (2022) 144257. 13. Y. Chen, K. You, S. Yu, T. Yang, Z. Dong*, J. Zhang, Y. Jia, G. Wang, J. Peng, S. Cai, X. Luo, J. Wang, C. Liu. Optimization of mechanical properties of Sn-3.8 Ag-0.7 Cu alloys by the additions of Bi, In and Ti, Progress in Natural Science: Materials International, 11 (2022). 14. T. Yang, Y. Chen, K. You, Z. Dong*, Y. Jia, G. Wang, J. Peng, S. Cai, X. Luo, C. Liu, J. Wang. Effect of Bi, Sb, and Ti on Microstructure and Mechanical Properties of SAC105 Alloys, Materials, 15 (2022) 4727. 15. B. Cao, S. Yang, A. Sun, Z. Dong*, T. Zhang. Domain knowledge-guided interpretive machine learning: formula discovery for the oxidation behavior of ferritic-martensitic steels in supercritical water, Journal of Materials Informatics, (2022) 2-4. 16. A. Sun, Z. Dong*, S. Yang, J. Shu, Y. Liu, Y. Liu, Y. Kang, D. Wang, J. Song. Effect of Zr and Ti on isothermal oxidation behavior of Nb–Si based alloys, Progress in Natural Science: Materials International, 32 (2022) 226-235. 17. H. Yuan, B. Cao, K. You, Z. Dong*, T. Zhang, J. Peng, S. Cai, X. Luo, C. Liu, J. Wang. Mechanical properties prediction and alloy design of lead-free solder alloy assisted by machine learning, Sci Sin Tech, (2022) SST-2022-0233. 18. R. Chen, F. Liu, Y. Tang, Y. Liu, Z. Dong, Z. Deng, X. Zhao, Y. Liu. Combined first-principles and machine learning study of the initial growth of carbon nanomaterials on metal surfaces, Applied Surface Science, 586 (2022) 152762. 19. Z. Zhao, L. Xu, W. Wang, Y. Shen, Q. Wang, S. Li, B. Liu, Z. Dong, N. Zhao, C. Zhong, W. Hu. A rational design of multi-functional separator for uniform zinc deposition and suppressed side reaction towards zinc–nickel batteries with superior cycling life and shelf life, Chemical Engineering Journal, 442 (2022) 136079. 20. Y. Yang, X. Guo, Z. Dong*. Effect of Nb on microstructure and mechanical properties of Ti-xNb-4Zr–8Sn alloys, Materials Science and Engineering: A, 825 (2021) 141741. 21. J. Chen, Y. Tang, F. Liu, J. Shu, Y. Liu, Z. Dong, Y. Liu. Alloying Effects on the Oxygen Diffusion in Nb Alloys: A First-Principles Study, Metallurgical and Materials Transactions A, 52 (2021) 270-283. 22. Y. Shen, L. Xu, Q. Wang, Z. Zhao, Z. Dong, J. Liu, C. Zhong, W. Hu. Root Reason for the Failure of a Practical Zn–Ni Battery: Shape Changing Caused by Uneven Current Distribution and Zn Dissolution, ACS Applied Materials & Interfaces, 13 (2021) 51141-51150. 23. W. Zhao, C. Zheng, B. Xiao, X. Liu, L. Liu, T. Yu, Y. Liu, Z. Dong, Y. Liu, C. Zhou, H. Wu, B. Lu. Composition Refinement of 6061 Aluminum Alloy Using Active Machine Learning Model Based on Bayesian Optimization Sampling, Acta Metall Sin, 57 (2020) 797-810. 24. Z. Dong*, M. Li, Y. Behnaminan, J. Luo, W. Chen, B. Amirkhiz, P. Liu, X. Pang, J. Li, W. Zheng, D. Guzonas, C. Xia. Effects of Si, Mn on the Corrosion Behavior of Ferritic-Martensitic Steels in Supercritical Water (SCW) Environments, Corrosion Science, 166 (2020) 108432. 25. J. Liang, Z. Dong, et al. Study on Transition of Stress Corrosion Cracking to Sharp Edge Corrosion for a Liquids Pipeline, Proceeding of 2018 12th IPC, ASME, 2018. 26. Z. Dong, Z. Liu, M. Li, J. Luo, W. Chen, W. Zheng, D. Guzonas. Effect of Ultrasonic Impact Peening on the Corrosion of Ferritic-Martensitic Steels in Supercritical Water, Journal of Nuclear Materials, 457 (2015) 266-272. 27. R. Wang, Z. Dong, J. Luo, W. Chen, W. Zheng, D. Guzonas. Stability of MgO-, CeO2- and SiO2-doped Cr2O3 Ceramics in High-temperature Supercritical Water, Corrosion Science, 82 (2014) 339-346. 28. Z. Dong, Q. Zhang, W. Chen. Fabrication of Highly Porous Chromium Carbide with Multiple Pore Structure, Journal of the American Ceramic Society, 97 (2014) 1317-1325. 29. Z. Dong, W. Chen. Synthesis and Hardness Evaluation of Porous M(Cr, Co)7C3-Co Composites, Materials Science and Engineering A, 576 (2013) 52-60. 30. Z. Dong, W. Chen, W. Zheng, D. Guzonas. Effect of Yttria Addition on the Stability of Porous Chromium Oxide Ceramics in Supercritical Water, Journal of Nuclear Materials, 432 (2013) 466-474. 31. Z. Dong, W. Chen, W. Zheng, D. Guzonas. Corrosion Behavior of Porous Chromium Carbide in Supercritical Water, Journal of Nuclear Materials, 420 (2012) 320-327. 32. Z. Dong, W. Chen, W. Zheng, D. Guzonas. Corrosion Behavior of Chromium Oxide Based Ceramics in Supercritical Water (SCW) Environments, Corrosion Science, 65 (2012) 461-471. 33. Z. Dong, L. Zhang, W. Chen. Evaluation of Cu-Cr3C2 Composite with Interpenetrating Network, Materials Science and Engineering A, 552 (2012) 24-30. 34. F. Hu, Z. Dong, X. Cui, W. Chen. Improved SnO2-Sb2O4-Based Anode Modified with Cr3C2 and CNT for Phenol Oxidation, Electrochimica Acta, 56 (2011) 1576-1580. 35. Y. Han*, W. Ma, Z. Dong, S. Li, S. Gong*. Effect of Ruthenium on Microstructure and Stress Rupture Properties of a Single Crystal Nickel-Base Superalloy, Proceeding of Superalloy 2008, TMS, 2008. 36. Z. Dong, H. Jiang, X. Feng, Z. Wang. Effect of Cr on High Temperature Oxidation of TiAl, Transactions of Nonferrous Metals Society of China, 16 (2006) 2004-2008. |